premise string | hypothesis string | label int64 |
|---|---|---|
| NumberofDocuments: | 163 |
| --- | --- |
| NumberofToken: | 71,888 |
| NumberofSentences: | 3,027 | | | AnnotatedSentences(messages): | 1,017 |
| --- | --- |
| DistinctVerbsandNounsintheCorpus: | 7,185 |
| DistinctVerbsandNounsintheMessages: | 2,426 | | 1 |
| NumberofDocuments: | 163 |
| --- | --- |
| NumberofToken: | 71,888 |
| NumberofSentences: | 3,027 | | | | Individualusersgroup |
| --- | --- |
| Totalnumberoftweets | 119,376 |
| Totalnumberofuniqueaccounts | 80,537 |
| Totalnumberoftokens | 1,837,304 |
| Averagenumberoftokenspertweet | 15.391 |
| Totalnumberofuniquetokens | 103,089 |
| Averagenumberofuniquetokenspertweet | 0.864 |
| Uniquetokens:tokensratio | 0.056 |
| Numberofhapaxlegomena | 69,542 |
| Averagenumberofhapaxlegomenapertweet | 0.583 | | 0 |
| NumberofDocuments: | 163 |
| --- | --- |
| NumberofToken: | 71,888 |
| NumberofSentences: | 3,027 |
| AnnotatedSentences(messages): | 1,017 | | | DistinctVerbsandNounsintheCorpus: | 7,185 |
| --- | --- |
| DistinctVerbsandNounsintheMessages: | 2,426 | | 1 |
| NumberofDocuments: | 163 |
| --- | --- |
| NumberofToken: | 71,888 |
| NumberofSentences: | 3,027 |
| AnnotatedSentences(messages): | 1,017 | | | Numberofhapaxlegomena | 69,542 |
| --- | --- |
| Averagenumberofhapaxlegomenapertweet | 0.583 | | 0 |
| Tweets | 196,985,580 |
| --- | --- |
| Users | 9,801,062 |
| Hashtags | 1,341,733 | | | TweetswithHashtags | 19,043,104 |
| --- | --- |
| Retweets | 15,126,588 |
| TweetswithURLs | 54,443,857 |
| Direct(@)Tweets | 41,951,786 | | 1 |
| Tweets | 196,985,580 |
| --- | --- |
| Users | 9,801,062 |
| Hashtags | 1,341,733 | | | Hashtag | Frequency |
| --- | --- |
| love | 152,930 |
| follow | 101,048 |
| instagood | 72,658 |
| me | 61,303 |
| like | 59,995 |
| tbt | 56,636 |
| cute | 54,736 |
| photooftheday | 54,444 |
| beautiful | 50,602 |
| happy | 49027 | | 0 |
| Tweets | 196,985,580 |
| --- | --- |
| Users | 9,801,062 |
| Hashtags | 1,341,733 |
| TweetswithHashtags | 19,043,104 |
| Retweets | 15,126,588 | | | TweetswithURLs | 54,443,857 |
| --- | --- |
| Direct(@)Tweets | 41,951,786 | | 1 |
| Tweets | 196,985,580 |
| --- | --- |
| Users | 9,801,062 |
| Hashtags | 1,341,733 |
| TweetswithHashtags | 19,043,104 |
| Retweets | 15,126,588 | | | beautiful | 50,602 |
| --- | --- |
| happy | 49027 | | 0 |
| 2Dvs2.5Dvs3D | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Subject | 2D | 2.5D | 3D | | | |
| | Mean | Std | Mean | Std | Mean | Std |
| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |
| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |
| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |
| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |
| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |
| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |
| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |
| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 | | | 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |
| --- | --- | --- | --- | --- | --- | --- |
| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |
| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 | | 1 |
| 2Dvs2.5Dvs3D | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Subject | 2D | 2.5D | 3D | | | |
| | Mean | Std | Mean | Std | Mean | Std |
| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |
| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |
| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |
| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |
| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |
| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |
| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |
| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 | | | 2Dvs2.5Dvs3D | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Subject | 2D | 2.5D | 3D | | | |
| | Mean | Std | Mean | Std | Mean | Std |
| 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |
| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |
| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |
| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |
| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |
| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |
| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |
| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |
| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |
| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |
| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 | | 0 |
| 2Dvs2.5Dvs3D | | | |
| --- | --- | --- | --- |
| Subject | 2D | 2.5D | 3D | | | | Mean | Std | Mean | Std | Mean | Std |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 271.91,73.74 | 120.39,54.93 | 128.29,82.42 | 61.93,57.59 | 90.72,165.98 | 52.69,88.66 |
| 2 | 272.13,74.71 | 174.92,60.23 | 104.76,74.68 | 62.57,57.42 | 78.93,110.95 | 53.01,72.12 |
| 3 | 269.11,96.05 | 643.46,198.38 | 621.51,226.25 | 357.53,103.18 | 621.03,311.18 | 344.64,91.91 |
| 4 | 448.56,317.26 | 775.57,1134.81 | 171.02,127.61 | 82.94,79.97 | 126.67,175.23 | 84.47,91.81 |
| 5 | 453.31,98.76 | 313.59,62.72 | 847.58,105.51 | 372.41,65.22 | 851.03,127.28 | 405.94,71.71 |
| 6 | 315.27,97.65 | 166.49,67.03 | 238.81,88.71 | 81.87,69.14 | 199.57,84.55 | 78.85,65.08 |
| 7 | 163.26,124.66 | 148.24,69.82 | 423.71,86.75 | 273.51,63.16 | 483.87,98.61 | 262.28,68.97 |
| 8 | 170.48,82.16 | 135.11,55.27 | 500.16,291.91 | 327.32,125.91 | 557.58,263.84 | 306.18,106.34 |
| 9 | 174.44,124.41 | 158.03,90.47 | 474.84,309.11 | 293.31,197.14 | 471.45,348.61 | 273.68,197.46 |
| 10 | 189.03,93.93 | 254.06,347.13 | 204.03,68.67 | 110.11,44.11 | 211.56,101.18 | 129.56,55.63 |
| 11 | 242.43,58.49 | 178.81,60.65 | 601.07,651.39 | 358.44,291.53 | 650.83,643.25 | 326.46,275.01 | | 1 |
| 2Dvs2.5Dvs3D | | | |
| --- | --- | --- | --- |
| Subject | 2D | 2.5D | 3D | | | 1 | 636.51,335.92 | 458.05,410.72 | 350.38,314.66 | 169.89,210.71 | 178.86,175.18 | 195.45,148.11 |
| --- | --- | --- | --- | --- | --- | --- |
| 2 | 674.81,164.18 | 483.05,142.16 | 327.13,218.02 | 219.27,174.73 | 173.36,194.73 | 189.16,142.18 |
| 3 | 2227.33,590.95 | 4918.12,1079.51 | 479.55,468.34 | 412.73,281.55 | 468.56,482.34 | 297.08,207.33 |
| 4 | 986.62,824.92 | 1474.53,1737.91 | 324.51,277.44 | 178.71,210.27 | 188.61,167.71 | 192.31,133.46 |
| 5 | 945.29,208.74 | 713.39,376.67 | 875.23,304.89 | 483.12,222.61 | 699.59,195.46 | 445.35,170.75 |
| 6 | 665.61,232.86 | 468.55,366.36 | 461.98,269.71 | 276.23,187.19 | 257.11,200.81 | 209.78,137.04 |
| 7 | 660.83,239.21 | 362.87,184.25 | 519.06,236.97 | 420.72,185.22 | 604.11,173.52 | 296.58,113.85 |
| 8 | 583.52,357.65 | 312.55,245.24 | 458.31,256.74 | 425.81,224.43 | 524.19,245.41 | 308.77,170.46 |
| 9 | 625.89,360.22 | 408.87,216.06 | 463.65,375.31 | 360.06,330.94 | 377.56,304.88 | 261.53,299.25 |
| 10 | 587.73,214.97 | 410.06,487.02 | 440.14,270.42 | 295.54,218.76 | 277.06,203.33 | 252.39,171.86 |
| 11 | 728.69,468.99 | 579.65,628.01 | 490.85,837.33 | 397.51,577.42 | 447.82,571.31 | 299.31,442.53 | | 0 |
| Inputs | MAEs(years) |
| --- | --- |
| DAMs-Mod | 4.67 | | | AAMs-Mod | 4.81 |
| --- | --- |
| DAMs-Rec | 5.67 |
| AAMs-Rec | 6.14 |
| DLF-CNN | 4.26 |
| CA-SVR | 4.67 |
| PLO | 4.82 | | 1 |
| Inputs | MAEs(years) |
| --- | --- |
| DAMs-Mod | 4.67 | | | PartA | | |
| --- | --- | --- |
| MAE | MSE | MAE |
| 83.1 | 120.4 | 20.1 |
| 75.9 | 109.2 | 16.5 |
| 72.9 | 103.1 | 14.6 |
| 69.3 | 96.4 | 11.6 | | 0 |
| Inputs | MAEs(years) |
| --- | --- |
| DAMs-Mod | 4.67 |
| AAMs-Mod | 4.81 |
| DAMs-Rec | 5.67 | | | AAMs-Rec | 6.14 |
| --- | --- |
| DLF-CNN | 4.26 |
| CA-SVR | 4.67 |
| PLO | 4.82 | | 1 |
| Inputs | MAEs(years) |
| --- | --- |
| DAMs-Mod | 4.67 |
| AAMs-Mod | 4.81 |
| DAMs-Rec | 5.67 | | | 83.1 | 120.4 | 20.1 |
| --- | --- | --- |
| 75.9 | 109.2 | 16.5 |
| 72.9 | 103.1 | 14.6 |
| 69.3 | 96.4 | 11.6 | | 0 |
| | Simulation | | | |
| --- | --- | --- | --- | --- |
| | BLEU | Reward | SuccessRate | SlotError |
| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 | | | ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |
| --- | --- | --- | --- | --- |
| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |
| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 |
| HRED | 0.6575±0.0029 | 1.1187±0.0241 | 0.8095±0.0112 | 0.0862±0.0120 |
| ST-HRED | 0.5058±0.0048 | 0.7860±0.1085 | 0.7199±0.0650 | 0.3763±0.0046 |
| PT-HRED | 0.7193±0.0148 | 1.5247±0.0413 | 0.9587±0.0164 | 0.0405±0.0051 | | 1 |
| | Simulation | | | |
| --- | --- | --- | --- | --- |
| | BLEU | Reward | SuccessRate | SlotError |
| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 | | | | DSTC2 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |
| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |
| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| | Simulation | | | |
| --- | --- | --- | --- | --- |
| | BLEU | Reward | SuccessRate | SlotError |
| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |
| ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |
| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |
| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 | | | HRED | 0.6575±0.0029 | 1.1187±0.0241 | 0.8095±0.0112 | 0.0862±0.0120 |
| --- | --- | --- | --- | --- |
| ST-HRED | 0.5058±0.0048 | 0.7860±0.1085 | 0.7199±0.0650 | 0.3763±0.0046 |
| PT-HRED | 0.7193±0.0148 | 1.5247±0.0413 | 0.9587±0.0164 | 0.0405±0.0051 | | 1 |
| | Simulation | | | |
| --- | --- | --- | --- | --- |
| | BLEU | Reward | SuccessRate | SlotError |
| S2S | 0.5931±0.0182 | 0.8478±0.0724 | 0.6667±0.0302 | 0.0708±0.0061 |
| ST-S2S | 0.4297±0.0099 | 0.4485±0.0606 | 0.5310±0.0302 | 0.4103±0.0026 |
| ST-E-S2S | 0.5856±0.0123 | 1.0121±0.0633 | 0.7691±0.0285 | 0.0627±0.0048 |
| PT-S2S | 0.6685±0.0050 | 1.1493±0.1086 | 0.7945±0.0503 | 0.0638±0.0038 | | | d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| Messagename |
| --- |
| IAS |
| InfoSnapped |
| InfoSlave |
| InfoFree | | | SIP |
| --- |
| AckSIP |
| ClaimPosition |
| PositionTaken |
| InfoStopped |
| IAYS |
| CardinalityInfo |
| Offer |
| AckOffer |
| MoveTo |
| InfoArrived |
| HoleInfo |
| Subst |
| AckSubst |
| SubstArrival |
| ProfilePacket |
| MoveToSubst |
| Retirement | | 1 |
| Messagename |
| --- |
| IAS |
| InfoSnapped |
| InfoSlave |
| InfoFree | | | Entity | Ni | Vi | Mi | StructureType |
| --- | --- | --- | --- | --- |
| Account | 11446187 | 11446187 | 1 | Vestigial |
| CPUHours | 11446187 | 11446187 | 2752964 | Identity |
| DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |
| JobName | 11446187 | 11446187 | 90491 | Organization |
| JobNumber | 11446187 | 11446187 | 485212 | Identity |
| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |
| Priority | 11446187 | 11446187 | 1 | Vestigial |
| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |
| UserName | 11446187 | 11446187 | 8388 | Organization | | 0 |
| Messagename |
| --- |
| IAS |
| InfoSnapped |
| InfoSlave |
| InfoFree |
| SIP |
| AckSIP |
| ClaimPosition |
| PositionTaken |
| InfoStopped |
| IAYS | | | CardinalityInfo |
| --- |
| Offer |
| AckOffer |
| MoveTo |
| InfoArrived |
| HoleInfo |
| Subst |
| AckSubst |
| SubstArrival |
| ProfilePacket |
| MoveToSubst |
| Retirement | | 1 |
| Messagename |
| --- |
| IAS |
| InfoSnapped |
| InfoSlave |
| InfoFree |
| SIP |
| AckSIP |
| ClaimPosition |
| PositionTaken |
| InfoStopped |
| IAYS | | | DefaultDepartment | 11446187 | 11446187 | 1 | Vestigial |
| --- | --- | --- | --- | --- |
| JobName | 11446187 | 11446187 | 90491 | Organization |
| JobNumber | 11446187 | 11446187 | 485212 | Identity |
| MemoryUsage | 11446187 | 11446187 | 5241559 | Identity |
| Priority | 11446187 | 11446187 | 1 | Vestigial |
| TaskNumber | 11446187 | 11446187 | 7491889 | Identity |
| UserName | 11446187 | 11446187 | 8388 | Organization | | 0 |
| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | |
| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |
| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 | |
| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 | |
| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 | |
| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 | |
| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |
| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 | |
| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 | |
| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 | | | | Average | 24.43 | 24.47 | 0.763 | 31.04 | 0.904 | 31.43 | 0.912 | 0.39 | 0.008 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | C.man | 40.00 | 20.77 | 0.624 | 31.24 | 0.899 | 31.17 | 0.910 | -0.08 | 0.011 |
| House | 40.00 | 24.11 | 0.697 | 36.98 | 0.918 | 37.57 | 0.928 | 0.60 | 0.009 | |
| Lena | 40.00 | 25.84 | 0.829 | 34.74 | 0.968 | 35.14 | 0.973 | 0.40 | 0.004 | |
| Barbara | 40.00 | 22.49 | 0.737 | 28.53 | 0.933 | 28.31 | 0.930 | -0.23 | -0.003 | |
| Average | 40.00 | 23.30 | 0.722 | 32.87 | 0.930 | 33.05 | 0.935 | 0.18 | 0.006 | |
| 4 | C.man | 18.53 | 24.63 | 0.609 | 28.63 | 0.858 | 29.21 | 0.873 | 0.58 | 0.014 |
| House | 15.99 | 28.08 | 0.631 | 33.85 | 0.868 | 34.41 | 0.879 | 0.57 | 0.011 | |
| Lena | 16.47 | 28.81 | 0.903 | 33.76 | 0.957 | 34.29 | 0.967 | 0.52 | 0.010 | |
| Barbara | 17.35 | 24.22 | 0.849 | 26.09 | 0.908 | 26.17 | 0.913 | 0.07 | 0.005 | |
| Average | 17.17 | 26.44 | 0.748 | 30.58 | 0.898 | 31.02 | 0.908 | 0.44 | 0.010 | |
| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |
| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 | |
| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 | |
| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 | |
| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 | |
| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |
| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 | |
| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 | |
| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 | |
| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 | | | 1 |
| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | |
| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |
| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 | |
| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 | |
| Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 | |
| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 | |
| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |
| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 | |
| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 | |
| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 | | | | Noiseless | | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Image | NCSR | Our | Improvement | | | |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | |
| Butterfly | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |
| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |
| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |
| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |
| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |
| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |
| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |
| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |
| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |
| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |
| Noisy | | | | | | |
| Image | NCSR | Our | Improvement | | | |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | |
| Butterfly | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |
| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |
| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |
| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |
| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |
| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |
| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |
| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |
| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |
| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 | | 0 |
| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | |
| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |
| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 | |
| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 | | | | Barbara | 30.81 | 23.34 | 0.795 | 30.97 | 0.970 | 31.09 | 0.974 | 0.12 | 0.003 | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Average | 30.44 | 24.61 | 0.788 | 33.20 | 0.931 | 33.56 | 0.938 | 0.35 | 0.007 | |
| 2 | C.man | 25.85 | 22.16 | 0.668 | 29.31 | 0.862 | 29.75 | 0.873 | 0.44 | 0.011 |
| House | 23.14 | 25.46 | 0.724 | 33.99 | 0.869 | 34.56 | 0.879 | 0.57 | 0.009 | |
| Lena | 23.87 | 27.04 | 0.872 | 33.64 | 0.957 | 34.12 | 0.966 | 0.49 | 0.008 | |
| Barbara | 24.79 | 23.25 | 0.789 | 27.20 | 0.926 | 27.29 | 0.930 | 0.08 | 0.004 | |
| Average | 24.43 | 24.47 | 0.763 | 31.04 | 0.904 | 31.43 | 0.912 | 0.39 | 0.008 | |
| 3 | C.man | 40.00 | 20.77 | 0.624 | 31.24 | 0.899 | 31.17 | 0.910 | -0.08 | 0.011 |
| House | 40.00 | 24.11 | 0.697 | 36.98 | 0.918 | 37.57 | 0.928 | 0.60 | 0.009 | |
| Lena | 40.00 | 25.84 | 0.829 | 34.74 | 0.968 | 35.14 | 0.973 | 0.40 | 0.004 | |
| Barbara | 40.00 | 22.49 | 0.737 | 28.53 | 0.933 | 28.31 | 0.930 | -0.23 | -0.003 | |
| Average | 40.00 | 23.30 | 0.722 | 32.87 | 0.930 | 33.05 | 0.935 | 0.18 | 0.006 | |
| 4 | C.man | 18.53 | 24.63 | 0.609 | 28.63 | 0.858 | 29.21 | 0.873 | 0.58 | 0.014 |
| House | 15.99 | 28.08 | 0.631 | 33.85 | 0.868 | 34.41 | 0.879 | 0.57 | 0.011 | |
| Lena | 16.47 | 28.81 | 0.903 | 33.76 | 0.957 | 34.29 | 0.967 | 0.52 | 0.010 | |
| Barbara | 17.35 | 24.22 | 0.849 | 26.09 | 0.908 | 26.17 | 0.913 | 0.07 | 0.005 | |
| Average | 17.17 | 26.44 | 0.748 | 30.58 | 0.898 | 31.02 | 0.908 | 0.44 | 0.010 | |
| 5 | C.man | 29.19 | 23.36 | 0.734 | 27.69 | 0.858 | 28.58 | 0.873 | 0.88 | 0.015 |
| House | 26.61 | 27.82 | 0.794 | 33.55 | 0.874 | 34.17 | 0.883 | 0.62 | 0.009 | |
| Lena | 27.18 | 29.16 | 0.928 | 34.00 | 0.968 | 34.38 | 0.973 | 0.38 | 0.005 | |
| Barbara | 28.07 | 23.77 | 0.831 | 24.93 | 0.883 | 25.01 | 0.886 | 0.07 | 0.003 | |
| Average | 27.77 | 26.03 | 0.822 | 30.04 | 0.896 | 30.53 | 0.904 | 0.49 | 0.008 | |
| 6 | C.man | 17.76 | 29.83 | 0.703 | 34.69 | 0.932 | 34.89 | 0.939 | 0.21 | 0.007 |
| House | 15.15 | 30.00 | 0.682 | 37.08 | 0.920 | 36.74 | 0.911 | -0.34 | -0.010 | |
| Lena | 15.52 | 30.02 | 0.911 | 36.34 | 0.972 | 36.32 | 0.972 | -0.02 | 0.000 | |
| Barbara | 16.59 | 29.78 | 0.939 | 35.22 | 0.979 | 35.21 | 0.980 | -0.01 | 0.000 | |
| Average | 16.36 | 29.91 | 0.809 | 35.83 | 0.951 | 35.79 | 0.951 | -0.04 | -0.001 | | | 1 |
| Test | Image | BSNR | Input | IDD-BM3D | Our | Improvement | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | | | |
| 1 | C.man | 31.87 | 22.23 | 0.709 | 31.11 | 0.891 | 31.49 | 0.904 | 0.38 | 0.013 |
| House | 29.16 | 25.61 | 0.767 | 35.54 | 0.889 | 36.02 | 0.896 | 0.48 | 0.007 | |
| Lena | 29.89 | 27.25 | 0.882 | 35.20 | 0.972 | 35.63 | 0.978 | 0.43 | 0.006 | | | | Butterfly | 28.11 | 0.916 | 29.43 | 0.932 | 1.32 | 0.017 |
| --- | --- | --- | --- | --- | --- | --- |
| Flower | 29.51 | 0.856 | 29.82 | 0.865 | 0.31 | 0.009 |
| Girl | 33.36 | 0.827 | 33.36 | 0.824 | 0.00 | -0.003 |
| Parthenon | 27.18 | 0.751 | 25.39 | 0.757 | 0.21 | 0.006 |
| Parrot | 30.52 | 0.914 | 31.02 | 0.921 | 0.50 | 0.006 |
| Raccoon | 29.28 | 0.771 | 29.41 | 0.766 | 0.13 | -0.004 |
| Bike | 24.75 | 0.803 | 25.15 | 0.815 | 0.40 | 0.011 |
| Hat | 31.25 | 0.870 | 31.58 | 0.877 | 0.33 | 0.007 |
| Plants | 34.00 | 0.918 | 34.60 | 0.924 | 0.61 | 0.006 |
| Average | 29.81 | 0.847 | 30.23 | 0.853 | 0.42 | 0.006 |
| Noisy | | | | | | |
| Image | NCSR | Our | Improvement | | | |
| PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | |
| Butterfly | 26.87 | 0.888 | 28.00 | 0.903 | 1.13 | 0.15 |
| Flower | 28.08 | 0.793 | 28.44 | 0.807 | 0.36 | 0.14 |
| Girl | 32.02 | 0.764 | 32.10 | 0.767 | 0.07 | 0.004 |
| Parthenon | 26.38 | 0.699 | 26.63 | 0.710 | 0.25 | 0.010 |
| Parrot | 29.51 | 0.877 | 29.86 | 0.879 | 0.35 | 0.003 |
| Raccoon | 28.02 | 0.681 | 28.14 | 0.689 | 0.12 | 0.008 |
| Bike | 23.79 | 0.737 | 24.28 | 0.760 | 0.49 | 0.023 |
| Hat | 29.96 | 0.824 | 30.37 | 0.830 | 0.41 | 0.006 |
| Plants | 31.74 | 0.859 | 32.22 | 0.866 | 0.49 | 0.006 |
| Average | 28.49 | 0.791 | 28.89 | 0.801 | 0.41 | 0.010 | | 0 |
| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |
| --- | --- | --- | --- |
| ComputeUnits | 1 | 20 | 26 |
| USD/hr | 0.085 | 0.68 | 2.0 | | | USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |
| --- | --- | --- | --- |
| Architecture | 32-bit | 64-bit | 64-bit |
| Memory | 1.7GB | 7GB | 68.4GB |
| Storage | 160GB | 1690GB | 1690GB | | 1 |
| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |
| --- | --- | --- | --- |
| ComputeUnits | 1 | 20 | 26 |
| USD/hr | 0.085 | 0.68 | 2.0 | | | ComputeUnits | Memory | Storage | VMType |
| --- | --- | --- | --- |
| 1units | 1.875GB | 211.25GB | 1-1(1) |
| 4units | 7.5GB | 845GB | 1-2(2) |
| 8units | 15GB | 1690GB | 1-3(3) |
| 6.5units | 17.1GB | 422.5GB | 2-1(4) |
| 13units | 34.2GB | 845GB | 2-2(5) |
| 26units | 68.4GB | 1690GB | 2-3(6) |
| 5units | 1.875GB | 422.5GB | 3-1(7) |
| 20units | 7GB | 1690GB | 3-2(8) | | 0 |
| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |
| --- | --- | --- | --- |
| ComputeUnits | 1 | 20 | 26 |
| USD/hr | 0.085 | 0.68 | 2.0 |
| USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |
| Architecture | 32-bit | 64-bit | 64-bit | | | Memory | 1.7GB | 7GB | 68.4GB |
| --- | --- | --- | --- |
| Storage | 160GB | 1690GB | 1690GB | | 1 |
| EC2Instance | Small | XL(HighCPU) | QuadXL(HighRAM) |
| --- | --- | --- | --- |
| ComputeUnits | 1 | 20 | 26 |
| USD/hr | 0.085 | 0.68 | 2.0 |
| USD/(hr×ComputeUnit) | 0.085 | 0.034 | 0.0769 |
| Architecture | 32-bit | 64-bit | 64-bit | | | 5units | 1.875GB | 422.5GB | 3-1(7) |
| --- | --- | --- | --- |
| 20units | 7GB | 1690GB | 3-2(8) | | 0 |
| | aero | bike | boat | bus | car | chair | mbike | sofa | train |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |
| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |
| 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 | | | VSL(jointlytrained) | 0.514 | 0.269 | 0.327 | 0.558 | 0.633 | 0.199 | 0.301 | 0.173 | 0.402 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VSL(separatelytrained) | 0.631 | 0.657 | 0.554 | 0.856 | 0.786 | 0.311 | 0.656 | 0.601 | 0.804 | | 1 |
| | aero | bike | boat | bus | car | chair | mbike | sofa | train |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |
| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 |
| 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 | | | Methods | aero | bicycle | boat | bus | car | chair | table | mbike | sofa | train |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VDPM | 34.6 | 41.7 | 1.5 | 26.1 | 20.2 | 6.8 | 3.1 | 30.4 | 5.1 | 10.7 |
| DPM-VOC+VP | 37.4 | 43.9 | 0.3 | 48.6 | 36.9 | 6.1 | 2.1 | 31.8 | 11.8 | 11.1 |
| RCNN+Alex | 54.0 | 50.5 | 15.1 | 57.1 | 41.8 | 15.7 | 18.6 | 50.8 | 28.4 | 46.1 |
| VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |
| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |
| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |
| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |
| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |
| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |
| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |
| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |
| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |
| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |
| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |
| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |
| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |
| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |
| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |
| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |
| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |
| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |
| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |
| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |
| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 | | 0 |
| | aero | bike | boat | bus | car | chair | mbike | sofa | train |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |
| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 | | | 3D-R2N2[Res3D-GRU-3] | 0.544 | 0.499 | 0.560 | 0.816 | 0.699 | 0.280 | 0.649 | 0.332 | 0.672 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VSL(jointlytrained) | 0.514 | 0.269 | 0.327 | 0.558 | 0.633 | 0.199 | 0.301 | 0.173 | 0.402 |
| VSL(separatelytrained) | 0.631 | 0.657 | 0.554 | 0.856 | 0.786 | 0.311 | 0.656 | 0.601 | 0.804 | | 1 |
| | aero | bike | boat | bus | car | chair | mbike | sofa | train |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| NRSfM | 0.298 | 0.144 | 0.188 | 0.501 | 0.472 | 0.234 | 0.361 | 0.149 | 0.249 |
| 3D-R2N2[LSTM-1] | 0.472 | 0.330 | 0.466 | 0.677 | 0.579 | 0.203 | 0.474 | 0.251 | 0.518 | | | VpKps | 63.1 | 59.4 | 23.0 | 69.8 | 55.2 | 25.1 | 24.3 | 61.1 | 43.8 | 59.4 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| OursShare300 | 63.6 | 54.7 | 25.0 | 67.7 | 47.3 | 10.8 | 38.5 | 59.4 | 41.8 | 65.0 |
| OursShare500 | 64.6 | 62.1 | 26.8 | 70.0 | 51.4 | 11.3 | 40.7 | 62.7 | 40.6 | 65.9 |
| VDPM | 23.4 | 36.5 | 1.0 | 35.5 | 23.5 | 5.8 | 3.6 | 25.1 | 12.5 | 10.9 |
| DPM-VOC+VP | 28.6 | 40.3 | 0.2 | 38.0 | 36.6 | 9.4 | 2.6 | 32.0 | 11.0 | 9.8 |
| RCNN+Alex | 44.5 | 41.1 | 10.1 | 48.0 | 36.6 | 13.7 | 15.1 | 39.9 | 26.8 | 39.1 |
| VpKps | 57.5 | 54.8 | 18.9 | 59.4 | 51.5 | 24.7 | 20.5 | 59.5 | 43.7 | 53.3 |
| OursShare300 | 57.6 | 50.8 | 20.9 | 58.4 | 43.1 | 9.1 | 34.2 | 52.3 | 37.2 | 55.6 |
| OursShare500 | 58.6 | 56.4 | 19.9 | 62.4 | 45.2 | 10.6 | 34.7 | 58.6 | 38.8 | 61.2 |
| VDPM | 15.4 | 18.4 | 0.5 | 46.9 | 18.1 | 6.0 | 2.2 | 16.1 | 10.0 | 22.1 |
| DPM-VOC+VP | 15.9 | 22.9 | 0.3 | 49.0 | 29.6 | 6.1 | 2.3 | 16.7 | 7.1 | 20.2 |
| RCNN+Alex | 27.5 | 25.8 | 6.5 | 45.8 | 29.7 | 8.5 | 12.0 | 31.4 | 17.7 | 29.7 |
| VpKps | 46.6 | 42.0 | 12.7 | 64.6 | 42.7 | 20.8 | 18.5 | 38.8 | 33.5 | 42.5 |
| OursShare300 | 45.4 | 33.4 | 13.7 | 52.9 | 32.9 | 5.3 | 27.2 | 38.8 | 27.3 | 37.4 |
| OursShare500 | 45.9 | 39.6 | 14.0 | 54.0 | 35.4 | 7.4 | 26.4 | 40.4 | 29.2 | 41.5 |
| VDPM | 8.0 | 14.3 | 0.3 | 39.2 | 13.7 | 4.4 | 3.6 | 10.1 | 8.2 | 20.0 |
| DPM-VOC+VP | 9.7 | 16.7 | 2.2 | 42.1 | 24.6 | 4.2 | 2.1 | 10.5 | 4.1 | 20.7 |
| RCNN+Alex | 21.5 | 22.0 | 4.1 | 38.6 | 25.5 | 7.4 | 11.0 | 24.4 | 15.0 | 28.0 |
| VpKps | 37.0 | 33.4 | 10.0 | 54.1 | 40.0 | 17.5 | 19.9 | 34.3 | 28.9 | 43.9 |
| OursShare300 | 35.7 | 23.6 | 10.8 | 51.7 | 33.8 | 6.2 | 23.6 | 26.9 | 20.4 | 46.9 |
| OursShare500 | 33.4 | 29.4 | 9.2 | 54.7 | 35.7 | 5.5 | 22.9 | 30.3 | 27.5 | 44.1 | | 0 |
| 1Input:connectivewordxandrawtextT |
| --- |
| 2InitializeScore1={},Score2={} |
| 3GettheArg1candidatesetC1ofx |
| 4forc1inC1 |
| 5s1=rank(c1) | | | 6Score1=Score1 |
| --- |
| 7endfor |
| 8GettheArg2candidatesetC2ofx |
| 9forc2inC2 |
| 10s2=rank(c2) |
| 11Score2=Score2 |
| 12endfor |
| 13Findc1,let |
| 14FindnatureendofArg1 |
| 15GetArg1 |
| 16Findc2,let |
| 17FindnatureendofArg2 |
| 18GetArg2 |
| 19returnArg1,Arg2 | | 1 |
| 1Input:connectivewordxandrawtextT |
| --- |
| 2InitializeScore1={},Score2={} |
| 3GettheArg1candidatesetC1ofx |
| 4forc1inC1 |
| 5s1=rank(c1) | | | System | P | R | F0.5 |
| --- | --- | --- | --- |
| Baseline | 50.56 | 22.68 | 40.58 |
| Reranking | | | |
| 5-best | 50.32 | 22.99 | 40.65 |
| 10-best | 50.79 | 22.92 | 40.85 |
| Editselection | | | |
| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 | | 0 |
| 1Input:connectivewordxandrawtextT |
| --- |
| 2InitializeScore1={},Score2={} |
| 3GettheArg1candidatesetC1ofx |
| 4forc1inC1 |
| 5s1=rank(c1) |
| 6Score1=Score1 |
| 7endfor |
| 8GettheArg2candidatesetC2ofx |
| 9forc2inC2 |
| 10s2=rank(c2) |
| 11Score2=Score2 |
| 12endfor |
| 13Findc1,let |
| 14FindnatureendofArg1 |
| 15GetArg1 |
| 16Findc2,let |
| 17FindnatureendofArg2 | | | 18GetArg2 |
| --- |
| 19returnArg1,Arg2 | | 1 |
| 1Input:connectivewordxandrawtextT |
| --- |
| 2InitializeScore1={},Score2={} |
| 3GettheArg1candidatesetC1ofx |
| 4forc1inC1 |
| 5s1=rank(c1) |
| 6Score1=Score1 |
| 7endfor |
| 8GettheArg2candidatesetC2ofx |
| 9forc2inC2 |
| 10s2=rank(c2) |
| 11Score2=Score2 |
| 12endfor |
| 13Findc1,let |
| 14FindnatureendofArg1 |
| 15GetArg1 |
| 16Findc2,let |
| 17FindnatureendofArg2 | | | Reranking | | | |
| --- | --- | --- | --- |
| 5-best | 50.32 | 22.99 | 40.65 |
| 10-best | 50.79 | 22.92 | 40.85 |
| Editselection | | | |
| 1-best<br>2-best<br>3-best<br>4-best<br>5-best | 51.22<br>50.35<br>50.31<br>50.31<br>50.35 | 22.28<br>23.70<br>23.82<br>23.82<br>23.84 | 40.66<br>41.11<br>41.16<br>41.16<br>*<br>41.19 | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |
| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |
| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 | | | 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |
| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |
| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |
| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |
| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 |
| 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |
| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |
| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |
| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |
| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |
| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |
| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |
| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |
| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 | | | 224ABC | 131 | 116 | 14 | 15 | 0.892 | 0.885 | 0.889 | 296 | 282 | 8 | 14 | 0.972 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 412ABC | 137 | 122 | 11 | 15 | 0.917 | 0.891 | 0.904 | 345 | 323 | 11 | 22 | 0.967 |
| 425ABC | 180 | 170 | 28 | 10 | 0.859 | 0.944 | 0.899 | 295 | 265 | 12 | 30 | 0.957 |
| 515CNN | 131 | 105 | 16 | 26 | 0.868 | 0.802 | 0.833 | 283 | 259 | 15 | 24 | 0.945 |
| 531CNN | 108 | 85 | 24 | 23 | 0.78 | 0.787 | 0.783 | 359 | 316 | 18 | 43 | 0.946 |
| 619ABC | 127 | 52 | 131 | 75 | 0.284 | 0.409 | 0.335 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 873 | 305 | 213 | 0.741 | 0.804 | 0.771 | 2488 | 2104 | 239 | 384 | 0.898 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 143 | 57 | 28 | 0.715 | 0.836 | 0.771 | 280 | 230 | 9 | 50 | 0.962 |
| 222CNN | 101 | 80 | 24 | 21 | 0.769 | 0.792 | 0.78 | 309 | 275 | 11 | 34 | 0.962 | | | 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |
| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |
| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 | | 0 |
| No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |
| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |
| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |
| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 | | | 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |
| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 1 |
| No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 |
| 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |
| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |
| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 | | | No. | Class | Total | Training | Test | No. | Class | Total | Training |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Scrub | 761 | 76 | 685 | 8 | Graminoidmarsh | 431 | 43 |
| 2 | Willowswamp | 243 | 24 | 219 | 9 | Spartinamarsh | 520 | 52 |
| 3 | Cabbagepalmhammock | 256 | 26 | 230 | 10 | Cattailmarsh | 404 | 40 |
| 4 | Cabbagepalm/oakhammock | 252 | 25 | 227 | 11 | Saltmarsh | 419 | 42 |
| 5 | Slashpine | 161 | 16 | 145 | 12 | Mudflats | 503 | 50 |
| 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |
| 7 | Hardwoodswamp | 105 | 11 | 94 | | | | | | 0 |
| No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 | | | 2 | Corn-notill | 1428 | 143 | 1285 | 10 | Soybean-notill | 972 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 3 | Corn-mintill | 830 | 83 | 747 | 11 | Soybean-mintill | 2455 |
| 4 | Corn | 237 | 24 | 213 | 12 | Soybean-clean | 593 |
| 5 | Grass-pasture | 483 | 48 | 435 | 13 | Wheat | 205 |
| 6 | Grass-trees | 730 | 73 | 657 | 14 | Woods | 1265 |
| 7 | Grass-pasture-mowed | 28 | 3 | 25 | 15 | Buildings-Grass-Trees-Drives | 386 |
| 8 | Hay-windrowed | 478 | 48 | 430 | 16 | Stone-Steel-Towers | 93 | | 1 |
| No. | Class | Total | Training | Test | No. | Class | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | Alfalfa | 46 | 5 | 41 | 9 | Oats | 20 | | | 6 | Oak/broadleafhammock | 229 | 23 | 206 | 13 | Water | 927 | 93 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | Hardwoodswamp | 105 | 11 | 94 | | | | | | 0 |
| # | Question |
| --- | --- |
| Q1 | Whichartworksdoyouprefer? |
| Q2 | Whatisyourpreferenceontheartworks? |
| Q3 | Whatdidyoubecomeawareofonyourpreference? | | | Q4 | Whatdidyoubecomeawareofonyourpreference? |
| --- | --- |
| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |
| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |
| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |
| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? | | 1 |
| # | Question |
| --- | --- |
| Q1 | Whichartworksdoyouprefer? |
| Q2 | Whatisyourpreferenceontheartworks? |
| Q3 | Whatdidyoubecomeawareofonyourpreference? | | | # | Features | Description |
| --- | --- | --- |
| 1 | TF | Termfrequencyofwintheshorttext |
| 2 | IDF | Inversedocumentfrequencyofwinthewholecollection |
| 3 | SF | Numberofsentencesintheshorttextthatcontainw |
| 4 | First | Whetherwexistsinthefirstsentence |
| 5 | Last | Whetherwexistsinthelastsentence |
| 6 | NE | Whetherwisanamedentity(NE) |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| # | Question |
| --- | --- |
| Q1 | Whichartworksdoyouprefer? |
| Q2 | Whatisyourpreferenceontheartworks? | | | Q3 | Whatdidyoubecomeawareofonyourpreference? |
| --- | --- |
| Q4 | Whatdidyoubecomeawareofonyourpreference? |
| Q5 | WerethepreferencediagramsusedinthepartIdiscussionuseful? |
| Q6 | WerethepreferencediagramsusedinthepartIIdiscussionuseful? |
| Q7 | Didtheindividualtopicappearinginthediscussionshelpyouverify<br>theunderstandingofyourpreference? |
| Q8 | Didtheindividualtopicappearinginthediscussionshelpyoubecome<br>awareofyourpreference? | | 1 |
| # | Question |
| --- | --- |
| Q1 | Whichartworksdoyouprefer? |
| Q2 | Whatisyourpreferenceontheartworks? | | | 6 | NE | Whetherwisanamedentity(NE) |
| --- | --- | --- |
| 7 | NEFirst | WhetherwisNEinthefirstsentence |
| 8 | NELast | WhetherwisNEinthelastsentence |
| 9 | POS | Partofspeechofw | | 0 |
| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |
| --- | --- | --- | --- |
| englishdailabor | 68.4 | 67.1 | 72.4 |
| aisoposntua | 72.3 | 62.0 | 69.9 |
| tweetsemevaltest | 58.3 | 62.8 | 65.2 |
| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |
| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |
| sanders | 61.5 | 54.1 | 56.4 |
| sentistrengthmyspace | 50.2 | 52.3 | 52.2 | | | sentistrengthdigg | 45.4 | 50.1 | 50.6 |
| --- | --- | --- | --- |
| nikolaosted | 51.3 | 45.9 | 49.0 |
| debate | 57.1 | 45.9 | 47.1 |
| sentistrengthrw | 48.3 | 48.5 | 45.5 |
| sentistrengthbbc | 34.8 | 45.5 | 43.8 |
| vadernyt | 28.0 | 38.9 | 39.2 | | 1 |
| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |
| --- | --- | --- | --- |
| englishdailabor | 68.4 | 67.1 | 72.4 |
| aisoposntua | 72.3 | 62.0 | 69.9 |
| tweetsemevaltest | 58.3 | 62.8 | 65.2 |
| sentistrengthtwitter | 58.8 | 59.1 | 61.2 |
| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |
| sanders | 61.5 | 54.1 | 56.4 |
| sentistrengthmyspace | 50.2 | 52.3 | 52.2 | | | Accuracy | Coverage | |
| --- | --- | --- |
| nikolaosted | 0.919 | 0.014 |
| sentistrengthmyspace | 0.800 | 0.091 |
| aisoposntua | 0.787 | 0.526 |
| tweetsemevaltest | 0.693 | 0.071 |
| englishdailabor | 0.687 | 0.064 |
| sentistrengthyoutube | 0.686 | 0.085 |
| sentistrengthtwitter | 0.627 | 0.097 |
| sentistrengthrw | 0.619 | 0.148 |
| sentistrengthdigg | 0.600 | 0.028 |
| sanders | 0.359 | 0.045 |
| debate | 0.339 | 0.015 |
| sentistrengthbbc | 0.173 | 0.006 |
| vadernyt | - | - | | 0 |
| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |
| --- | --- | --- | --- |
| englishdailabor | 68.4 | 67.1 | 72.4 |
| aisoposntua | 72.3 | 62.0 | 69.9 |
| tweetsemevaltest | 58.3 | 62.8 | 65.2 | | | sentistrengthtwitter | 58.8 | 59.1 | 61.2 |
| --- | --- | --- | --- |
| sentistrengthyoutube | 56.6 | 56.1 | 58.7 |
| sanders | 61.5 | 54.1 | 56.4 |
| sentistrengthmyspace | 50.2 | 52.3 | 52.2 |
| sentistrengthdigg | 45.4 | 50.1 | 50.6 |
| nikolaosted | 51.3 | 45.9 | 49.0 |
| debate | 57.1 | 45.9 | 47.1 |
| sentistrengthrw | 48.3 | 48.5 | 45.5 |
| sentistrengthbbc | 34.8 | 45.5 | 43.8 |
| vadernyt | 28.0 | 38.9 | 39.2 | | 1 |
| Dataset | BagofWords | BaseMethods | BoW+BaseMethods |
| --- | --- | --- | --- |
| englishdailabor | 68.4 | 67.1 | 72.4 |
| aisoposntua | 72.3 | 62.0 | 69.9 |
| tweetsemevaltest | 58.3 | 62.8 | 65.2 | | | sentistrengthbbc | 0.173 | 0.006 |
| --- | --- | --- |
| vadernyt | - | - | | 0 |
| Method | mAP |
| --- | --- |
| SSD321 | 76.4 | | | SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 |
| --- | --- |
| SSD321+PM(c)+DM(Eltw-sum)<br>SSD321+PM(c)+DM(Eltw-prod) | 78.4<br>78.6 |
| SSD321+PM(c)+DM(Eltw-prod)+Stage2 | 77.9 | | 1 |
| Method | mAP |
| --- | --- |
| SSD321 | 76.4 | | | Method | 1000 | 4000 | 16000 | 64000 |
| --- | --- | --- | --- | --- |
| DC | (0.0102,0.0137) | (0.0034,0.0048) | (0.0014,0.0020) | (0.0010,0.0014) |
| HF | (0.0023,0.0078) | (0.0010,0.0036) | (0.0011,0.0030) | (0.0009,0.0016) |
| BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |
| (e,e)2∞ | | | | |
| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |
| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |
| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |
| (d,d)2∞ | | | | |
| DC | 0.152 | 0.636 | 4.54 | 26.9 |
| HF | 1.03 | 3.14 | 12.7 | 53.7 |
| BD | 28.4 | 182 | 744 | 3395 |
| timing(sec) | | | | | | 0 |
| Method | mAP |
| --- | --- |
| SSD321 | 76.4 |
| SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 | | | SSD321+PM(c)+DM(Eltw-sum)<br>SSD321+PM(c)+DM(Eltw-prod) | 78.4<br>78.6 |
| --- | --- |
| SSD321+PM(c)+DM(Eltw-prod)+Stage2 | 77.9 | | 1 |
| Method | mAP |
| --- | --- |
| SSD321 | 76.4 |
| SSD321+PM(b)<br>SSD321+PM(c)<br>SSD321+PM(d) | 76.9<br>77.1<br>77.0 | | | BD | (0.0131,0.0300) | (0.0054,0.0150) | (0.0040,0.0092) | (0.0023,0.0051) |
| --- | --- | --- | --- | --- |
| (e,e)2∞ | | | | |
| DC | (0.0505,0.1592) | (0.0303,0.1084) | (0.0160,0.0570) | (0.0082,0.0377) |
| HF | (0.0638,12.9485) | (0.0270,1.4460) | (0.0169,1.3563) | (0.0085,0.8276) |
| BD | (0.0829,0.6582) | (0.0547,0.9318) | (0.0313,1.0055) | (0.0192,1.1988) |
| (d,d)2∞ | | | | |
| DC | 0.152 | 0.636 | 4.54 | 26.9 |
| HF | 1.03 | 3.14 | 12.7 | 53.7 |
| BD | 28.4 | 182 | 744 | 3395 |
| timing(sec) | | | | | | 0 |
| Activities | PT | GL | BD | PN | PO | DS | HT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |
| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 | | | DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 | | 1 |
| Activities | PT | GL | BD | PN | PO | DS | HT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |
| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 | | | | BL | SL | SR | BH | SH | Ins |
| --- | --- | --- | --- | --- | --- | --- |
| BL | 15 | 4 | - | 6 | 1 | 1 |
| SL | 2 | 17 | 1 | - | 9 | 15 |
| SR | 2 | 1 | 27 | 1 | 5 | 8 |
| BH | 5 | - | - | 14 | 2 | 6 |
| SH | - | 7 | 4 | - | 9 | 12 |
| Del | 1 | 2 | - | - | - | - |
| Total | 25 | 31 | 32 | 21 | 26 | 42 | | 0 |
| Activities | PT | GL | BD | PN | PO | DS | HT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |
| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 | | | DS | 0 | 2 | 0 | 1 | 0 | 7 | 0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| HT | 1 | 0 | 4 | 1 | 0 | 0 | 5 | | 1 |
| Activities | PT | GL | BD | PN | PO | DS | HT |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PT | 5 | 0 | 2 | 1 | 0 | 0 | 2 |
| GL | 0 | 7 | 0 | 1 | 0 | 3 | 0 |
| BD | 0 | 0 | 6 | 1 | 0 | 0 | 4 |
| PN | 0 | 0 | 1 | 5 | 3 | 0 | 1 |
| PO | 0 | 0 | 1 | 4 | 5 | 0 | 0 | | | Del | 1 | 2 | - | - | - | - |
| --- | --- | --- | --- | --- | --- | --- |
| Total | 25 | 31 | 32 | 21 | 26 | 42 | | 0 |
| | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 | | | CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |
| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 | | 1 |
| | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 | | | Architectures | Accuracy | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Neutral | Anger | Disgust | Fear | Happy | Sad | Surprise | Total |
| VGG-16 | 0.327 | 0.424 | 0.102 | 0.093 | 0.476 | 0.138 | 0.133 | 0.263 |
| VGG-16+RNN | 0.431 | 0.559 | 0.026 | 0.07 | 0.444 | 0.259 | 0.044 | 0.293 |
| ResNet | 0.31 | 0.153 | 0.077 | 0.023 | 0.534 | 0.207 | 0.067 | 0.211 |
| ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |
| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |
| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 | | | CNN+LSTM | 1.042 | 1.077 | 1.029 | 1.092 | 1.029 | 1.013 | 1.031 | 1.035 | 1.054 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CNN+GRU | 1.022 | 1.034 | 0.995 | 1.081 | 0.999 | 1.012 | 1.008 | 1.023 | 1.045 | | 1 |
| | Mean | Neutral | Calm | Happy | Sad | Angry | Fearful | Disgu. | Surpri. |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 1.039 | 1.059 | 1.039 | 1.082 | 1.010 | 1.033 | 1.016 | 1.049 | 1.038 |
| CNN-static | 0.741 | 0.725 | 0.715 | 0.760 | 0.728 | 0.746 | 0.746 | 0.781 | 0.746 | | | ResNet+RNN | 0.431 | 0.237 | 0.077 | 0.07 | 0.587 | 0.155 | 0.089 | 0.261 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VGG-Face+RNN | 0.552 | 0.593 | 0.026 | 0.047 | 0.794 | 0.259 | 0.111 | 0.384 |
| fine-tunedAffWildNet | 0.569 | 0.627 | 0.051 | 0.023 | 0.746 | 0.709 | 0.111 | 0.454 | | 0 |
| | Finalpass | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 | | | FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |
| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |
| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |
| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 |
| NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |
| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |
| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 | | 1 |
| | Finalpass | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 | | | Method | AEE-05 | AEE-5so | AEE-tot | AAE-05 | AAE-5so | AAE-tot |
| --- | --- | --- | --- | --- | --- | --- |
| DeepFlow | 0.30 | 3.99 | 0.47 | 9.35 | 14.65 | 9.59 |
| HAOF | 0.37 | 4.59 | 0.56 | 10.95 | 19.40 | 11.33 |
| LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |
| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 | | 0 |
| | Finalpass | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |
| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |
| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |
| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |
| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |
| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 | | | NNF-Local | 7.249 | 2.973 | 42.088 | 4.896 | 44.866 | 5.386 | 1.397 | 37.896 | 2.722 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PH-Flow | 7.423 | 3.795 | 36.960 | 5.550 | 44.926 | 4.388 | 1.714 | 26.202 | 3.612 |
| Classic+NL | 9.153 | 4.814 | 44.509 | 7.215 | 60.291 | 7.961 | 3.770 | 42.079 | 6.191 | | 1 |
| | Finalpass | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | all | noc | occ | d0-10 | s40+ | all | noc | occ | d0-10 |
| FlowFields | 5.810 | 2.621 | 31.799 | 4.851 | 33.890 | 3.748 | 1.056 | 25.700 | 2.784 |
| FullFlow | 5.895 | 2.838 | 30.793 | 4.905 | 35.592 | 3.601 | 1.296 | 22.424 | 2.944 |
| DiscreteFlow | 6.077 | 2.937 | 31.685 | 5.106 | 36.339 | 3.567 | 1.108 | 23.626 | 3.398 |
| EpicFlow | 6.285 | 3.060 | 32.564 | 5.205 | 38.021 | 4.115 | 1.360 | 26.595 | 3.660 |
| TF+OFM | 6.727 | 3.388 | 33.929 | 5.544 | 39.761 | 4.917 | 1.874 | 29.735 | 3.676 | | | LDOF | 0.35 | 2.85 | 0.46 | 9.91 | 9.72 | 9.9 |
| --- | --- | --- | --- | --- | --- | --- |
| USCNN | 0.46 | 8.7 | 0.81 | 12.74 | 59.50 | 14.70 | | 0 |
| | 0.0001 | 0.001 | 0.01 | 0.1 |
| --- | --- | --- | --- | --- |
| softmax | 0.553 | 0.730 | 0.881 | 0.957 |
| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 | | | L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |
| --- | --- | --- | --- | --- |
| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |
| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |
| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |
| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |
| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 | | 1 |
| | 0.0001 | 0.001 | 0.01 | 0.1 |
| --- | --- | --- | --- | --- |
| softmax | 0.553 | 0.730 | 0.881 | 0.957 |
| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 | | | Model | Noise | AnnotatedEvidence | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| | | | | | | | | | | | | |
| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |
| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 | | 0 |
| | 0.0001 | 0.001 | 0.01 | 0.1 |
| --- | --- | --- | --- | --- |
| softmax | 0.553 | 0.730 | 0.881 | 0.957 |
| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 | | | L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |
| --- | --- | --- | --- | --- |
| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |
| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |
| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |
| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |
| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 | | 1 |
| | 0.0001 | 0.001 | 0.01 | 0.1 |
| --- | --- | --- | --- | --- |
| softmax | 0.553 | 0.730 | 0.881 | 0.957 |
| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |
| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 | | 0 |
| Region | Numberofmentions | Numberofusers(senders) |
| --- | --- | --- |
| California | 2,349,901 | 217,439 |
| LosAngeles | 918,360 | 51,625 | | | UK | 3,721,716 | 612,368 |
| --- | --- | --- |
| London | 614,045 | 58,046 | | 1 |
| Region | Numberofmentions | Numberofusers(senders) |
| --- | --- | --- |
| California | 2,349,901 | 217,439 |
| LosAngeles | 918,360 | 51,625 | | | Region | α |
| --- | --- |
| California | 3.48 |
| LosAngeles | 2.29 |
| UK | 2.54 |
| London | 2.01 | | 0 |
| Region | Numberofmentions | Numberofusers(senders) |
| --- | --- | --- |
| California | 2,349,901 | 217,439 | | | LosAngeles | 918,360 | 51,625 |
| --- | --- | --- |
| UK | 3,721,716 | 612,368 |
| London | 614,045 | 58,046 | | 1 |
| Region | Numberofmentions | Numberofusers(senders) |
| --- | --- | --- |
| California | 2,349,901 | 217,439 | | | UK | 2.54 |
| --- | --- |
| London | 2.01 | | 0 |
| | V&K | Render-for-CNN |
| --- | --- | --- |
| Problemformulation | Classification | Fine-grainedclassification | | | Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |
| --- | --- | --- |
| Lossfunction | Cross-entropy | Weightedcross-entropy |
| Dataaugmentation | 2Djittering | Renderedimages |
| Networkarchitecture | VGG-Net(FC7) | AlexNet(FC7) | | 1 |
| | V&K | Render-for-CNN |
| --- | --- | --- |
| Problemformulation | Classification | Fine-grainedclassification | | | CNN | Imageresolution | RunTime(ms) |
| --- | --- | --- |
| AlexNet | 227×227 | 2.3 |
| VGG16 | 224×224 | 10 |
| Resnet50 | 224×224 | 17 |
| SqueezeNet | 224×224 | 2.5 |
| SqueezeNet | 448×448 | 4 |
| SqueezeNet | 625×625 | 6 | | 0 |
| | V&K | Render-for-CNN |
| --- | --- | --- |
| Problemformulation | Classification | Fine-grainedclassification |
| Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |
| Lossfunction | Cross-entropy | Weightedcross-entropy | | | Dataaugmentation | 2Djittering | Renderedimages |
| --- | --- | --- |
| Networkarchitecture | VGG-Net(FC7) | AlexNet(FC7) | | 1 |
| | V&K | Render-for-CNN |
| --- | --- | --- |
| Problemformulation | Classification | Fine-grainedclassification |
| Representation | Discretizedangles(21bins) | Discretizedangles(360bins) |
| Lossfunction | Cross-entropy | Weightedcross-entropy | | | VGG16 | 224×224 | 10 |
| --- | --- | --- |
| Resnet50 | 224×224 | 17 |
| SqueezeNet | 224×224 | 2.5 |
| SqueezeNet | 448×448 | 4 |
| SqueezeNet | 625×625 | 6 | | 0 |
| Code | Region | Numberofpatents |
| --- | --- | --- |
| WO | WorldIntellectualPropertyOrganization | 292 |
| EP | EuropeanPatentOffice | 163 |
| KR | RepublicofKorea | 51 |
| RU | RussianFederation | 5 |
| ZA | SouthAfrica | 3 |
| IL | Israel | 3 |
| ES | Spain | 3 | | | SG | Singapore | 2 |
| --- | --- | --- |
| MX | Mexico | 1 | | 1 |
| Code | Region | Numberofpatents |
| --- | --- | --- |
| WO | WorldIntellectualPropertyOrganization | 292 |
| EP | EuropeanPatentOffice | 163 |
| KR | RepublicofKorea | 51 |
| RU | RussianFederation | 5 |
| ZA | SouthAfrica | 3 |
| IL | Israel | 3 |
| ES | Spain | 3 | | | Pid | Workshop | Block | Company | Country | Anchor | EstProd |
| --- | --- | --- | --- | --- | --- | --- |
| P130 | N | G | G | Ukraine | high | 100.0 |
| P334 | Y | I3 | I | Poland | high | 20.0 |
| P318 | Y | I3 | I | Poland | low | 1.5 |
| P250 | N | K | K | Vietnam | low | 15.0 |
| P10 | N | A | A | Romania | high | 80.0 | | 0 |
| Code | Region | Numberofpatents |
| --- | --- | --- |
| WO | WorldIntellectualPropertyOrganization | 292 |
| EP | EuropeanPatentOffice | 163 |
| KR | RepublicofKorea | 51 |
| RU | RussianFederation | 5 |
| ZA | SouthAfrica | 3 | | | IL | Israel | 3 |
| --- | --- | --- |
| ES | Spain | 3 |
| SG | Singapore | 2 |
| MX | Mexico | 1 | | 1 |
| Code | Region | Numberofpatents |
| --- | --- | --- |
| WO | WorldIntellectualPropertyOrganization | 292 |
| EP | EuropeanPatentOffice | 163 |
| KR | RepublicofKorea | 51 |
| RU | RussianFederation | 5 |
| ZA | SouthAfrica | 3 | | | P250 | N | K | K | Vietnam | low | 15.0 |
| --- | --- | --- | --- | --- | --- | --- |
| P10 | N | A | A | Romania | high | 80.0 | | 0 |
| Model | Noise | AnnotatedEvidence | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | |
| | | | | | | | | | | | | | Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 | | 1 |
| Model | Noise | AnnotatedEvidence | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | |
| | | | | | | | | | | | | | | 0.0001 | 0.001 | 0.01 | 0.1 |
| --- | --- | --- | --- | --- |
| softmax | 0.553 | 0.730 | 0.881 | 0.957 |
| L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |
| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |
| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |
| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |
| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |
| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |
| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 | | 0 |
| Model | Noise | AnnotatedEvidence |
| --- | --- | --- |
| | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Softmax<br>Softmax(k-1)<br>CRF | False<br>False<br>False | 58.21<br>58.28<br>63.19 | 72.90<br>71.80<br>79.21 | 64.73<br>64.34<br>70.30 | 57.42<br>58.22<br>61.90 | 72.32<br>71.83<br>77.33 | 64.02<br>64.31<br>68.76 | 61.53<br>62.48<br>66.00 | 77.49<br>77.08<br>82.45 | 68.59<br>69.02<br>73.32 | 67.53<br>67.06<br>68.97 | 74.18<br>73.47<br>74.64 |
| Softmax<br>Softmax(k-1)<br>CRF | True<br>True<br>True | 59.74<br>59.84<br>64.42 | 69.11<br>67.51<br>75.84 | 64.08<br>63.44<br>69.67 | 59.38<br>59.76<br>63.72 | 68.77<br>67.61<br>76.09 | 63.73<br>63.44<br>69.36 | 63.58<br>64.02<br>67.53 | 73.63<br>72.44<br>80.63 | 68.24<br>67.97<br>73.50 | 69.75<br>69.11<br>72.66 | 74.72<br>73.93<br>76.83 | | 1 |
| Model | Noise | AnnotatedEvidence |
| --- | --- | --- |
| | | | | | L-softmax(α=8)2 | 0.257 | 0.433 | 0.746 | 0.953 |
| --- | --- | --- | --- | --- |
| L-softmax(α=12)2 | 0.620 | 0.721 | 0.875 | 0.970 |
| L-softmax(α=16)2 | 0.734 | 0.834 | 0.924 | 0.974 |
| L-softmax(α=20)2 | 0.740 | 0.820 | 0.922 | 0.973 |
| L-softmax(α=24)2 | 0.744 | 0.831 | 0.912 | 0.974 |
| L-softmax(α=28)2 | 0.740 | 0.834 | 0.922 | 0.975 |
| L-softmax(α=32)2 | 0.727 | 0.831 | 0.921 | 0.972 |
| L-softmax(αtrained)2 | 0.698 | 0.817 | 0.914 | 0.971 | | 0 |
| Image | KR | FoE | BPFA | JSM | Proposed |
| --- | --- | --- | --- | --- | --- |
| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |
| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 | | | Butterfly | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 |
| --- | --- | --- | --- | --- | --- |
| Foreman | 40.51/0.9848 | 38.81/0.9863 | 38.53/0.9733 | 39.70/0.9870 | 43.30/0.9887 |
| Average | 32.50/0.9629 | 32.73/0.9674 | 33.35/0.9620 | 35.30/0.9784 | 36.89/0.9812 | | 1 |
| Image | KR | FoE | BPFA | JSM | Proposed |
| --- | --- | --- | --- | --- | --- |
| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |
| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 | | | | Gradual | Sharp | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P | R |
| LNA | 198 | 147 | 11 | 51 | 0.93 | 0.742 | 0.826 | 45 | 31 | 26 | 14 | 0.544 | 0.689 |
| NFC | 77 | 57 | 11 | 20 | 0.838 | 0.74 | 0.786 | 121 | 115 | 8 | 6 | 0.935 | 0.95 |
| NEC | 94 | 88 | 3 | 6 | 0.967 | 0.936 | 0.951 | 74 | 57 | 5 | 17 | 0.919 | 0.77 |
| HNA | 124 | 107 | 4 | 17 | 0.964 | 0.863 | 0.911 | 24 | 21 | 8 | 3 | 0.724 | 0.875 |
| 3PGC | 228 | 171 | 32 | 57 | 0.842 | 0.75 | 0.794 | 132 | 112 | 48 | 20 | 0.7 | 0.848 |
| CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| Image | KR | FoE | BPFA | JSM | Proposed |
| --- | --- | --- | --- | --- | --- |
| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |
| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |
| Butterfly | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 | | | Foreman | 40.51/0.9848 | 38.81/0.9863 | 38.53/0.9733 | 39.70/0.9870 | 43.30/0.9887 |
| --- | --- | --- | --- | --- | --- |
| Average | 32.50/0.9629 | 32.73/0.9674 | 33.35/0.9620 | 35.30/0.9784 | 36.89/0.9812 | | 1 |
| Image | KR | FoE | BPFA | JSM | Proposed |
| --- | --- | --- | --- | --- | --- |
| Barbara | 29.59/0.9578 | 30.18/0.9585 | 32.91/0.9647 | 36.56/0.9839 | 37.81/0.9862 |
| Parthenon | 29.69/0.9374 | 31.87/0.9535 | 31.90/0.9506 | 33.07/0.9631 | 33.27/0.9656 |
| Butterfly | 30.22/0.9717 | 30.04/0.9713 | 30.07/0.9595 | 31.85/0.9797 | 33.18/0.9844 | | | CLE | 123 | 98 | 22 | 25 | 0.817 | 0.797 | 0.807 | 244 | 236 | 33 | 8 | 0.877 | 0.967 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| CDC | 302 | 231 | 27 | 71 | 0.895 | 0.765 | 0.825 | 139 | 129 | 65 | 10 | 0.665 | 0.928 |
| 8NNE | 214 | 184 | 44 | 30 | 0.807 | 0.86 | 0.833 | 424 | 418 | 36 | 6 | 0.921 | 0.986 |
| CLE | 37 | 28 | 7 | 9 | 0.8 | 0.757 | 0.778 | 57 | 54 | 7 | 3 | 0.885 | 0.947 |
| 5PGC | 190 | 155 | 44 | 35 | 0.779 | 0.816 | 0.797 | 81 | 75 | 30 | 6 | 0.714 | 0.926 |
| MNE | 181 | 156 | 11 | 25 | 0.934 | 0.862 | 0.897 | 339 | 323 | 21 | 16 | 0.939 | 0.953 |
| CLE | 27 | 25 | 4 | 2 | 0.862 | 0.926 | 0.893 | 44 | 42 | 0 | 2 | 1 | 0.955 |
| 1NNE | 146 | 134 | 11 | 12 | 0.924 | 0.918 | 0.921 | 120 | 118 | 5 | 2 | 0.959 | 0.983 |
| Total | 1941 | 1581 | 231 | 360 | 0.873 | 0.815 | 0.843 | 1844 | 1731 | 292 | 113 | 0.856 | 0.939 | | 0 |
| IndicatorBits | Description |
| --- | --- |
| 0000 | ControlPacket |
| 0001 | CommonDataPacket |
| 0010 | ChannelControlPacket | | | 1001 | AcknowledgementtoCommondataPacket |
| --- | --- |
| 1010 | AcknowledgementtoChannelControlPacket | | 1 |
| IndicatorBits | Description |
| --- | --- |
| 0000 | ControlPacket |
| 0001 | CommonDataPacket |
| 0010 | ChannelControlPacket | | | Signals | Description |
| --- | --- |
| clk | Thisistheglobalclocksignal |
| resetn | Activelowsystemreset |
| rin[7:0] | Redcolorcomponent |
| gin[7:0] | Greencolorcomponent |
| bin[7:0] | Bluecolorcomponent |
| ro[7:0] | Enhancedredcolorcomponent |
| go[7:0] | EnhancedGreencolorcomponent |
| bo[7:0] | EnhancedBluecolorcomponent |
| pixelvalid | ValidsignalforenhancedRGBpixel | | 0 |
| IndicatorBits | Description |
| --- | --- |
| 0000 | ControlPacket | | | 0001 | CommonDataPacket |
| --- | --- |
| 0010 | ChannelControlPacket |
| 1001 | AcknowledgementtoCommondataPacket |
| 1010 | AcknowledgementtoChannelControlPacket | | 1 |
| IndicatorBits | Description |
| --- | --- |
| 0000 | ControlPacket | | | bo[7:0] | EnhancedBluecolorcomponent |
| --- | --- |
| pixelvalid | ValidsignalforenhancedRGBpixel | | 0 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.