premise
string
hypothesis
string
label
int64
| Alg | Initial | 10 | 25 | 100 | | --- | --- | --- | --- | --- | | EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 | | BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 | | MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |
| Thompson | -.2118±.0002 | -.2247±.0002 | -.2844±.0001 | -.3725±.0004 | | --- | --- | --- | --- | --- | | FullBR | .4976±.0002 | .4973±.0002 | .4975±.0001 | .4969±.0003 | | Nash | -.3750±.0000 | -.3750±.0000 | -.3750±.0000 | -.3750±.0001 |
1
| Alg | Initial | 10 | 25 | 100 | | --- | --- | --- | --- | --- | | EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 | | BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 | | MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |
| MASR | PPF | 3D-CNN | ANNC-ASSCC | | --- | --- | --- | --- | | 99.87±0.11 | 99.15±0.18 | 99.93±0.11 | 100.00±0.00 | | 94.22±0.45 | 97.96±0.24 | 98.26±0.31 | 98.75±0.62 | | 99.45±0.46 | 97.37±0.18 | 94.98±1.97 | 99.26±0.16 | | 99.98±0.05 | 99.27±0.11 | 98.48±2.11 | 99.96±0.04 | | 98.75±0.51 | 98.79±0.16 | 99.67±0.18 | 99.35±0.28 | | 80.23±1.78 | 98.95±0.08 | 99.29±0.41 | 99.73±0.06 | | 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 | | 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 | | 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 | | 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |
0
| Alg | Initial | 10 | 25 | 100 | | --- | --- | --- | --- | --- | | EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 | | BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 | | MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |
| Thompson | -.2118±.0002 | -.2247±.0002 | -.2844±.0001 | -.3725±.0004 | | --- | --- | --- | --- | --- | | FullBR | .4976±.0002 | .4973±.0002 | .4975±.0001 | .4969±.0003 | | Nash | -.3750±.0000 | -.3750±.0000 | -.3750±.0000 | -.3750±.0001 |
1
| Alg | Initial | 10 | 25 | 100 | | --- | --- | --- | --- | --- | | EBBR | .0001±.0003 | -.0003±.0003 | .0002±.0002 | -.0014±.0005 | | BBR | -.0662±.0003 | -.0902±.0003 | -.1634±.0002 | -.3127±.0004 | | MAP | -.1699±.0002 | -.2060±.0002 | -.2657±.0001 | -.3082±.0004 |
| 99.34±0.47 | 94.36±0.35 | 97.88±0.97 | 97.49±0.64 | | --- | --- | --- | --- | | 99.90±0.04 | 99.90±0.03 | 99.99±0.01 | 99.41±0.06 | | 84.80±1.02 | 99.96±0.05 | 99.15±0.75 | 98.72±0.56 | | 0.9719±0.0018 | 0.9862±0.0011 | 0.9845±0.0010 | 2(cid:13)0.9937±0.0011 |
0
| VocabularySize | 8000 | | --- | --- | | EmbeddingSize | 128 | | HiddenLayerSize | 128 |
| LearningRate | 1×10 | | --- | --- | | DropoutRate | 0.095 | | AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |
1
| VocabularySize | 8000 | | --- | --- | | EmbeddingSize | 128 | | HiddenLayerSize | 128 |
| Hyperparameter | NMT | SPF | Ours | | --- | --- | --- | --- | | BatchSize | 128 | 100 | 128 | | HiddenLayerSize | 512 | 600 | 512 | | EncoderLayer | 2 | 2 | 2 | | DecoderLayer | 2 | 1 | 2 | | Optimizer | ADAM | ADAM | ADAM | | LearningRate | 0.001 | 0.001 | 0.001 | | BidirectionalEncoder | Used | Used | Used | | EncoderDropoutRate | 0.2 | 0.4 | 0.2 | | DecoderDropoutRate | 0.2 | 0.5 | 0.2 | | BeamSearchSize | - | 5 | - |
0
| VocabularySize | 8000 | | --- | --- | | EmbeddingSize | 128 | | HiddenLayerSize | 128 |
| LearningRate | 1×10 | | --- | --- | | DropoutRate | 0.095 | | AdamOptimizer(β,β,α)12 | 0.09,0.99,0.001 |
1
| VocabularySize | 8000 | | --- | --- | | EmbeddingSize | 128 | | HiddenLayerSize | 128 |
| LearningRate | 0.001 | 0.001 | 0.001 | | --- | --- | --- | --- | | BidirectionalEncoder | Used | Used | Used | | EncoderDropoutRate | 0.2 | 0.4 | 0.2 | | DecoderDropoutRate | 0.2 | 0.5 | 0.2 | | BeamSearchSize | - | 5 | - |
0
| CNNsName | VGG-F | VGG-M | VGG-S | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | | Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |
| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) | | --- | --- | --- | --- | --- | --- | --- | --- | | Classifier | SVMs | NB | RFT | NB | NB | RFT | kNN | | Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 | | AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |
1
| CNNsName | VGG-F | VGG-M | VGG-S | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | | Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |
| CNNsName | VGG-F | VGG-M | VGG-S | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | | Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 | | Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) | | Classifier | NB | NB | NB | RFT | NB | RFT | NB | | Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 | | AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |
0
| CNNsName | VGG-F | VGG-M | VGG-S | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | | Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |
| Selection | RF(5) | SU(5) | SU(10) | SU(10) | RF(10) | SU(5) | SU(15) | | --- | --- | --- | --- | --- | --- | --- | --- | | Classifier | SVMs | NB | RFT | NB | NB | RFT | kNN | | Accuracy | 83.86 | 89.29 | 83.13 | 83.86 | 90.41 | 87.10 | 90.34 | | AUC | 0.741 | 0.744 | 0.740 | 0.750 | 0.742 | 0.716 | 0.841 |
1
| CNNsName | VGG-F | VGG-M | VGG-S | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | | Dimensions | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 | 4096 |
| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) | | --- | --- | --- | --- | --- | --- | --- | --- | | Classifier | NB | NB | NB | RFT | NB | RFT | NB | | Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 | | AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 |
0
| Experiment | Model | MSEPSNRSSIM | | --- | --- | --- | | PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |
| Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) | | | --- | --- | --- | | T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) | | Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) | |
1
| Experiment | Model | MSEPSNRSSIM | | --- | --- | --- | | PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) |
| Experiment | Model | MSEPSNRSSIM | | --- | --- | --- | | T2*toCT | Cycle | 0.516(0.19)18.32(1.82)0.5716(0.15) | | Dicycle | 0.287(0.11)23.71(1.17)0.7122(0.03) | | | CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) | | Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) | |
0
| Experiment | Model | MSEPSNRSSIM | | --- | --- | --- | | PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) | | Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) | |
| T2toPD | Cycle | 0.561(0.22)19.42(1.61)0.6001(0.11) | | --- | --- | --- | | Dicycle | 0.141(0.02)22.86(1.31)0.7714(0.02) | |
1
| Experiment | Model | MSEPSNRSSIM | | --- | --- | --- | | PDtoT2 | Cycle | 0.586(0.25)19.52(1.62)0.6081(0.12) | | Dicycle | 0.145(0.02)22.32(1.29)0.7842(0.03) | |
| CTtoT2* | Cycle | 0.521(0.22)19.12(1.60)0.5818(0.12) | | --- | --- | --- | | Dicycle | 0.299(0.08)22.66(1.11)0.7556(0.02) | |
0
| Image# | GA-MGC | GA-Dissimiliarity | | --- | --- | --- | | 1 | 87.10 | 88.44 | | 2 | 82.97 | 85.28 | | 3 | 100.00 | 100.00 | | 4 | 65.69 | 69.46 | | 5 | 100.00 | 100.00 |
| 6 | 100.00 | 98.30 | | --- | --- | --- | | 7 | 100.00 | 100.00 | | 8 | 100.00 | 100.00 | | 9 | 100.00 | 100.00 | | 10 | 100.00 | 97.81 | | 11 | 99.64 | 97.08 | | 12 | 99.27 | 99.64 | | 13 | 91.85 | 91.12 | | 14 | 100.00 | 99.64 | | 15 | 94.04 | 96.84 | | 16 | 100.00 | 100.00 | | 17 | 100.00 | 99.64 | | 18 | 100.00 | 100.00 | | 19 | 100.00 | 100.00 | | 20 | 100.00 | 100.00 | | Avg | 96.03 | 96.16 |
1
| Image# | GA-MGC | GA-Dissimiliarity | | --- | --- | --- | | 1 | 87.10 | 88.44 | | 2 | 82.97 | 85.28 | | 3 | 100.00 | 100.00 | | 4 | 65.69 | 69.46 | | 5 | 100.00 | 100.00 |
| Method | G1 | G2 | G3 | G4 | Total | | --- | --- | --- | --- | --- | --- | | ML-CNN | 81.97 | 79.11 | 63.16 | 62.45 | 76.25 | | CF | 81.00 | 82.08 | 77.63 | 78.50 | 80.48 | | CRF | 85.00 | 84.33 | 81.25 | 82.50 | 83.95 | | G-tasks | 90.10 | 92.29 | 89.80 | 73.52 | 89.18 | | S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 | | M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 | | MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |
0
| Image# | GA-MGC | GA-Dissimiliarity | | --- | --- | --- | | 1 | 87.10 | 88.44 |
| 2 | 82.97 | 85.28 | | --- | --- | --- | | 3 | 100.00 | 100.00 | | 4 | 65.69 | 69.46 | | 5 | 100.00 | 100.00 | | 6 | 100.00 | 98.30 | | 7 | 100.00 | 100.00 | | 8 | 100.00 | 100.00 | | 9 | 100.00 | 100.00 | | 10 | 100.00 | 97.81 | | 11 | 99.64 | 97.08 | | 12 | 99.27 | 99.64 | | 13 | 91.85 | 91.12 | | 14 | 100.00 | 99.64 | | 15 | 94.04 | 96.84 | | 16 | 100.00 | 100.00 | | 17 | 100.00 | 99.64 | | 18 | 100.00 | 100.00 | | 19 | 100.00 | 100.00 | | 20 | 100.00 | 100.00 | | Avg | 96.03 | 96.16 |
1
| Image# | GA-MGC | GA-Dissimiliarity | | --- | --- | --- | | 1 | 87.10 | 88.44 |
| S-CNN | 90.50 | 92.90 | 87.00 | 89.57 | 90.43 | | --- | --- | --- | --- | --- | --- | | M-CNN | 91.72 | 94.26 | 87.96 | 91.51 | 91.70 | | MG-CNN | 93.12 | 95.37 | 88.65 | 91.93 | 92.82 |
0
| Feature | MCCmax | σ | | --- | --- | --- | | All | 0.27325 | 0.03014 | | Location+numberofwires | 0.26206 | 0.03676 | | Location+class | 0.25796 | 0.03540 | | Location+metertype | 0.25479 | 0.03884 | | Location+voltage | 0.22944 | 0.03544 |
| Location+contractstatus | 0.22335 | 0.03454 | | --- | --- | --- | | Class+numberofwires | 0.17501 | 0.00468 | | Class+metertype | 0.16472 | 0.00309 | | Class+voltage | 0.16322 | 0.01400 | | Numberofwires+metertype | 0.15283 | 0.00274 | | Class+contractstatus | 0.15158 | 0.00992 | | Numberofwires+voltage | 0.14156 | 0.00800 | | Numberofwires+contractstatus | 0.14111 | 0.00794 | | Metertype+voltage | 0.13165 | 0.00381 | | Metertype+contractstatus | 0.13155 | 0.00382 | | Voltage+contractstatus | 0.08213 | 0.08301 |
1
| Feature | MCCmax | σ | | --- | --- | --- | | All | 0.27325 | 0.03014 | | Location+numberofwires | 0.26206 | 0.03676 | | Location+class | 0.25796 | 0.03540 | | Location+metertype | 0.25479 | 0.03884 | | Location+voltage | 0.22944 | 0.03544 |
| Feature | ModelOrder | BaselineSystem | FusedSystem | | --- | --- | --- | --- | | LPCC | 2 | 80.9420 | 84.7101 | | 4 | 88.9855 | 91.0870 | | | 8 | 93.8949 | 94.7826 | | | 16 | 95.6884 | 96.2862 | | | 32 | 96.5399 | 97.1014 | | | 64 | 96.7391 | 97.2826 | | | PLPCC | 2 | 66.5761 | 72.5543 | | 4 | 76.9203 | 81.0507 | | | 8 | 85.3080 | 87.7717 | | | 16 | 90.6341 | 91.9022 | | | 32 | 93.5326 | 94.3116 | | | 64 | 94.6920 | 95.3986 | | | LFCC | 2 | 83.0072 | 85.8152 | | 4 | 90.3623 | 91.7935 | | | 8 | 94.6196 | 95.4891 | | | 16 | 96.2681 | 96.6848 | | | 32 | 97.1014 | 97.3551 | | | 64 | 97.2464 | 97.6268 | | | MFCC | 2 | 74.3116 | 78.6051 | | 4 | 84.8551 | 86.9384 | | | 8 | 90.6703 | 92.0290 | | | 16 | 94.1667 | 94.6920 | | | 32 | 95.6522 | 95.9964 | | | 64 | 96.7935 | 97.1014 | |
0
| Feature | MCCmax | σ | | --- | --- | --- | | All | 0.27325 | 0.03014 | | Location+numberofwires | 0.26206 | 0.03676 | | Location+class | 0.25796 | 0.03540 | | Location+metertype | 0.25479 | 0.03884 | | Location+voltage | 0.22944 | 0.03544 |
| Location+contractstatus | 0.22335 | 0.03454 | | --- | --- | --- | | Class+numberofwires | 0.17501 | 0.00468 | | Class+metertype | 0.16472 | 0.00309 | | Class+voltage | 0.16322 | 0.01400 | | Numberofwires+metertype | 0.15283 | 0.00274 | | Class+contractstatus | 0.15158 | 0.00992 | | Numberofwires+voltage | 0.14156 | 0.00800 | | Numberofwires+contractstatus | 0.14111 | 0.00794 | | Metertype+voltage | 0.13165 | 0.00381 | | Metertype+contractstatus | 0.13155 | 0.00382 | | Voltage+contractstatus | 0.08213 | 0.08301 |
1
| Feature | MCCmax | σ | | --- | --- | --- | | All | 0.27325 | 0.03014 | | Location+numberofwires | 0.26206 | 0.03676 | | Location+class | 0.25796 | 0.03540 | | Location+metertype | 0.25479 | 0.03884 | | Location+voltage | 0.22944 | 0.03544 |
| 8 | 94.6196 | 95.4891 | | | --- | --- | --- | --- | | 16 | 96.2681 | 96.6848 | | | 32 | 97.1014 | 97.3551 | | | 64 | 97.2464 | 97.6268 | | | MFCC | 2 | 74.3116 | 78.6051 | | 4 | 84.8551 | 86.9384 | | | 8 | 90.6703 | 92.0290 | | | 16 | 94.1667 | 94.6920 | | | 32 | 95.6522 | 95.9964 | | | 64 | 96.7935 | 97.1014 | |
0
| S.No | Nodes | TimeinSeconds | | --- | --- | --- | | 1 | 1000 | below1 | | 2 | 10000 | 2 |
| 3 | 100000 | 224 | | --- | --- | --- | | 4 | 1000000 | 21966 |
1
| S.No | Nodes | TimeinSeconds | | --- | --- | --- | | 1 | 1000 | below1 | | 2 | 10000 | 2 |
| AND | inG | Time<br>Node | Time<br>Node | Time<br>Node | Time<br>Node | | --- | --- | --- | --- | --- | --- | | 30 | 1000 | 21<br>1415 | 14<br>3312 | 2<br>2052 | 1<br>849 | | 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 | | | 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 | | | 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 | | 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 | | | 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 | |
0
| S.No | Nodes | TimeinSeconds | | --- | --- | --- | | 1 | 1000 | below1 | | 2 | 10000 | 2 |
| 3 | 100000 | 224 | | --- | --- | --- | | 4 | 1000000 | 21966 |
1
| S.No | Nodes | TimeinSeconds | | --- | --- | --- | | 1 | 1000 | below1 | | 2 | 10000 | 2 |
| 2000 | 73<br>2919 | 62<br>6949 | 9<br>4946 | 3<br>1576 | | | --- | --- | --- | --- | --- | --- | | 3000 | 157<br>4460 | 144<br>10732 | 20<br>8602 | 7<br>2461 | | | 50 | 1000 | 17<br>1115 | 9<br>2110 | 12<br>5811 | 7<br>2365 | | 2000 | 54<br>2215 | 35<br>4110 | 25<br>10319 | 17<br>5022 | | | 3000 | 112<br>3326 | 82<br>6296 | 42<br>13912 | 35<br>7497 | |
0
| No | LExO | FRED | Text2Onto | DLOL | | --- | --- | --- | --- | --- | | Trivial | 14/15 | 9/15 | 13/15 | 0/15 | | Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 | | Partial | LExO | FRED | Text2Onto | DLOL | | Trivial | 1/15 | 0/15 | 0/15 | 1/15 | | Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |
| Yes | LExO | FRED | Text2Onto | DLOL | | --- | --- | --- | --- | --- | | Trivial | 0/15 | 6/15 | 2/15 | 14/15 | | Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |
1
| No | LExO | FRED | Text2Onto | DLOL | | --- | --- | --- | --- | --- | | Trivial | 14/15 | 9/15 | 13/15 | 0/15 | | Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 | | Partial | LExO | FRED | Text2Onto | DLOL | | Trivial | 1/15 | 0/15 | 0/15 | 1/15 | | Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 |
| | E–<br>P– | E+<br>P– | E–<br>P+ | E+<br>P+ | | --- | --- | --- | --- | --- | | Morph/lexlookup | 0.53 | 0.54 | 0.54 | 0.49 | | Phrasalparsing | 0.27 | 0.28 | 0.14 | 0.14 | | Pruning | – | – | 0.57 | 0.56 | | Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 | | Preferences | 3.63 | 1.57 | 1.27 | 0.41 | | TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |
0
| No | LExO | FRED | Text2Onto | DLOL | | --- | --- | --- | --- | --- | | Trivial | 14/15 | 9/15 | 13/15 | 0/15 | | Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 | | Partial | LExO | FRED | Text2Onto | DLOL | | Trivial | 1/15 | 0/15 | 0/15 | 1/15 | | Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 | | Yes | LExO | FRED | Text2Onto | DLOL |
| Trivial | 0/15 | 6/15 | 2/15 | 14/15 | | --- | --- | --- | --- | --- | | Non-Trivial | 0/56 | 4/56 | 0/56 | 54/56 |
1
| No | LExO | FRED | Text2Onto | DLOL | | --- | --- | --- | --- | --- | | Trivial | 14/15 | 9/15 | 13/15 | 0/15 | | Non-Trivial | 56/56 | 40/56 | 56/56 | 0/56 | | Partial | LExO | FRED | Text2Onto | DLOL | | Trivial | 1/15 | 0/15 | 0/15 | 1/15 | | Non-Trivial | 0/56 | 12/56 | 0/56 | 2/56 | | Yes | LExO | FRED | Text2Onto | DLOL |
| Pruning | – | – | 0.57 | 0.56 | | --- | --- | --- | --- | --- | | Fullparsing | 12.42 | 2.61 | 3.04 | 0.26 | | Preferences | 3.63 | 1.57 | 1.27 | 0.41 | | TOTAL | 16.85 | 5.00 | 5.57 | 1.86 |
0
| Graph | n | LB1 | LB2 | Opt | | --- | --- | --- | --- | --- | | TinaDiscal | 11 | 0.31 | 0.86 | 12 | | jg1009 | 9 | 1.55 | 1.72 | 16 | | jg1011 | 11 | 1.48 | 0.94 | 24 | | Stranke94 | 10 | 1.76 | 1.77 | 24 | | Hamrle1 | 32 | -1.93 | 1.12 | 17 | | 4x5t | 20 | -21.71 | 5.43 | 28 |
| 8x5t | 40 | -16.16 | 2.91 | 33 | | --- | --- | --- | --- | --- | | t050 | 30 | 0.90 | 18.54 | 397 | | 2x17m | 34 | 1.33 | 1.27 | 316 | | s090 | 60 | -9.84 | 13.10 | 238 |
1
| Graph | n | LB1 | LB2 | Opt | | --- | --- | --- | --- | --- | | TinaDiscal | 11 | 0.31 | 0.86 | 12 | | jg1009 | 9 | 1.55 | 1.72 | 16 | | jg1011 | 11 | 1.48 | 0.94 | 24 | | Stranke94 | 10 | 1.76 | 1.77 | 24 | | Hamrle1 | 32 | -1.93 | 1.12 | 17 | | 4x5t | 20 | -21.71 | 5.43 | 28 |
| Graph | \|V\|G | \|E\|G | dnG | \|C\|G | \|c\|<br>G | \|c\|<br>G | \|c\|<br>G | | --- | --- | --- | --- | --- | --- | --- | --- | | 40<br>T | 10,879 | 15,940 | 2.694e-4 | 81 | 10,670 | 134.309 | 2 | | ∆TR | 0.651 | 0.088 | 0.208 | 1.013 | 0.647 | 0.643 | 1 | | T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 | | ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |
0
| Graph | n | LB1 | LB2 | Opt | | --- | --- | --- | --- | --- | | TinaDiscal | 11 | 0.31 | 0.86 | 12 | | jg1009 | 9 | 1.55 | 1.72 | 16 | | jg1011 | 11 | 1.48 | 0.94 | 24 | | Stranke94 | 10 | 1.76 | 1.77 | 24 |
| Hamrle1 | 32 | -1.93 | 1.12 | 17 | | --- | --- | --- | --- | --- | | 4x5t | 20 | -21.71 | 5.43 | 28 | | 8x5t | 40 | -16.16 | 2.91 | 33 | | t050 | 30 | 0.90 | 18.54 | 397 | | 2x17m | 34 | 1.33 | 1.27 | 316 | | s090 | 60 | -9.84 | 13.10 | 238 |
1
| Graph | n | LB1 | LB2 | Opt | | --- | --- | --- | --- | --- | | TinaDiscal | 11 | 0.31 | 0.86 | 12 | | jg1009 | 9 | 1.55 | 1.72 | 16 | | jg1011 | 11 | 1.48 | 0.94 | 24 | | Stranke94 | 10 | 1.76 | 1.77 | 24 |
| T | 37,782 | 65,263 | 9.144e-5 | 129 | 37,431 | 292.884 | 2 | | --- | --- | --- | --- | --- | --- | --- | --- | | ∆TM | 0.717 | 0.103 | 0.2 | 1.173 | 0.715 | 0.612 | 1 |
0
| Net | ISPA | | --- | --- | | A<br>B | 112.1<br>92.1 | | A<br>B | 123.3<br>133.3 | | A<br>B | 144.8<br>156.5 |
| A<br>B | 81.8<br>99.5 | | --- | --- | | A<br>B | 96.0<br>105.3 | | A<br>B | 105.5<br>106.7 |
1
| Net | ISPA | | --- | --- | | A<br>B | 112.1<br>92.1 | | A<br>B | 123.3<br>133.3 | | A<br>B | 144.8<br>156.5 |
| Net | ISPA | | --- | --- | | A<br>B | 143.6<br>124.4 | | A<br>B | 154.6<br>165.5 | | A<br>B | 165.4<br>197.7 | | A<br>B | 186.7<br>205.1 |
0
| Net | ISPA | | --- | --- | | A<br>B | 112.1<br>92.1 | | A<br>B | 123.3<br>133.3 | | A<br>B | 144.8<br>156.5 |
| A<br>B | 81.8<br>99.5 | | --- | --- | | A<br>B | 96.0<br>105.3 | | A<br>B | 105.5<br>106.7 |
1
| Net | ISPA | | --- | --- | | A<br>B | 112.1<br>92.1 | | A<br>B | 123.3<br>133.3 | | A<br>B | 144.8<br>156.5 |
| A<br>B | 154.6<br>165.5 | | --- | --- | | A<br>B | 165.4<br>197.7 | | A<br>B | 186.7<br>205.1 |
0
| Class | MACHOid | RA | Dec | Period[days] | V | R | Color | | --- | --- | --- | --- | --- | --- | --- | --- | | ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |
| ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 | | --- | --- | --- | --- | --- | --- | --- | --- | | ClassC<br>ClassC<br>ClassC | 17.2711.26<br>82.8283.41<br>62.7361.30 | 4.9556<br>5.5218<br>5.4249 | -69.6723<br>-69.2594<br>-66.2181 | 680.70<br>525.75<br>848.30 | 15.41<br>15.07<br>16.38 | 15.87<br>15.66<br>16.65 | -0.46<br>-0.59<br>-0.27 | | IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier | 13.5835.11<br>18.2478.9<br>78.6462.561<br>62.7241.19 | 5.2742<br>4.9342<br>5.3366<br>5.4114 | -71.0974<br>-69.0323<br>-69.6743<br>-66.1581 | 296.98<br>226.90<br>678.95<br>636.23 | 14.85<br>14.76<br>18.11<br>16.16 | 15.21<br>15.23<br>17.91<br>16.34 | -0.36<br>-0.46<br>0.20<br>-0.18 |
1
| Class | MACHOid | RA | Dec | Period[days] | V | R | Color | | --- | --- | --- | --- | --- | --- | --- | --- | | ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 |
| | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 | | --- | --- | --- | --- | --- | --- | | Param. | - | 149,344 | 137,424 | 123,600 | 109,776 | | Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 | | Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 | | BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |
0
| Class | MACHOid | RA | Dec | Period[days] | V | R | Color | | --- | --- | --- | --- | --- | --- | --- | --- | | ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 | | ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 |
| ClassC<br>ClassC<br>ClassC | 17.2711.26<br>82.8283.41<br>62.7361.30 | 4.9556<br>5.5218<br>5.4249 | -69.6723<br>-69.2594<br>-66.2181 | 680.70<br>525.75<br>848.30 | 15.41<br>15.07<br>16.38 | 15.87<br>15.66<br>16.65 | -0.46<br>-0.59<br>-0.27 | | --- | --- | --- | --- | --- | --- | --- | --- | | IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier<br>IndividualOutlier | 13.5835.11<br>18.2478.9<br>78.6462.561<br>62.7241.19 | 5.2742<br>4.9342<br>5.3366<br>5.4114 | -71.0974<br>-69.0323<br>-69.6743<br>-66.1581 | 296.98<br>226.90<br>678.95<br>636.23 | 14.85<br>14.76<br>18.11<br>16.16 | 15.21<br>15.23<br>17.91<br>16.34 | -0.36<br>-0.46<br>0.20<br>-0.18 |
1
| Class | MACHOid | RA | Dec | Period[days] | V | R | Color | | --- | --- | --- | --- | --- | --- | --- | --- | | ClassA<br>ClassA<br>ClassA<br>ClassA | 82.8887.471<br>82.9009.834<br>82.9009.1850<br>82.8887.2395 | 5.59031<br>5.59633<br>5.59655<br>5.59106 | -69.2956<br>-69.2722<br>-69.2762<br>-69.2954 | 657.19<br>525.75<br>525.75<br>876.25 | 19.78<br>20.25<br>21.04<br>21.04 | 19.28<br>19.71<br>20.96<br>21.20 | 0.49<br>0.536<br>0.08<br>-0.16 | | ClassB<br>ClassB<br>ClassB<br>ClassB<br>ClassB | 56.5178.29<br>44.1616.257<br>35.7272.13<br>48.2864.67<br>82.8284.126 | 5.19911<br>4.84559<br>5.42992<br>4.96026<br>5.51805 | -66.5471<br>-70.0673<br>-72.127<br>-67.5326<br>-69.202 | 363.00<br>871.32<br>374.98<br>872.94<br>438.12 | 16.50<br>16.23<br>16.23<br>17.00<br>17.56 | 17.02<br>16.704<br>16.70<br>17.53<br>17.61 | -0.51<br>-0.47<br>-0.47<br>-0.52<br>-0.04 |
| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 | | --- | --- | --- | --- | --- | --- | | Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 | | BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 |
0
| Method | Scene1 | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 | | P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 | | P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene2 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 | | P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 | | P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene3 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 | | P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 | | P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene4 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 | | P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 | | P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene5 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |
| P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |
1
| Method | Scene1 | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 | | P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 | | P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene2 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 | | P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 | | P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene3 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 | | P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 | | P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene4 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 | | P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 | | P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene5 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 |
| Scene | Objects | Frames | 3D<br>points | | --- | --- | --- | --- | | 1 | 16 | 880 | 13.5x10 | | 2 | 14 | 728 | 13.7x10 | | 3 | 12 | 763 | 9.7x10 | | 4 | 12 | 714 | 5.7x10 | | 5 | 15 | 1316 | 11.6x10 | | 6 | 15 | 451 | 7.7x10 | | 7 | 11 | 740 | 13.2x10 | | 8 | 10 | 398 | 13.5x10 | | 9 | 13 | 745 | 8.3x10 |
0
| Method | Scene1 | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 | | P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 | | P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene2 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | |
| Scratch | 18.1 | 36.7 | 44.5 | 45.3 | 36.1 | 13.1 | 14.8 | 42.1 | 38.1 | 27.0 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | P3D | 9.9 | 35.1 | 59.7 | 45.7 | 37.6 | 5.0 | 25.1 | 44.9 | 34.8 | 27.4 | | P3DFinetuned | 28.7 | 43.9 | 63.6 | 66.4 | 50.6 | 16.1 | 25.4 | 56.3 | 36.0 | 33.4 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene3 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 1.8 | 28.8 | 46.3 | 66.1 | 35.7 | 0.6 | 9.9 | 32.7 | 25.8 | 17.3 | | P3D | 7.6 | 13.0 | 41.4 | 47.7 | 27.4 | 8.0 | 6.2 | 31.1 | 30.5 | 18.9 | | P3DFinetuned | 5.3 | 27.7 | 48.9 | 56.3 | 34.6 | 4.4 | 11.1 | 36.3 | 38.0 | 22.5 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene4 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 22.6 | 22.9 | - | 10.5 | 18.6 | 11.4 | 28.7 | - | 12.2 | 17.4 | | P3D | 55.5 | 46.5 | - | 1.6 | 34.5 | 52.4 | 34.0 | - | 3.1 | 29.8 | | P3DFinetuned | 40.8 | 32.3 | - | 17.6 | 30.2 | 30.7 | 32.1 | - | 27.4 | 30.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene5 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 21.8 | 21.2 | 47.0 | 21.4 | 27.9 | 11.0 | 5.7 | 34.4 | 7.3 | 14.6 | | P3D | 6.2 | 18.3 | 41.2 | 21.0 | 21.7 | 4.7 | 9.0 | 27.3 | 14.4 | 13.8 | | P3DFinetuned | 23.8 | 5.4 | 41.8 | 39.8 | 27.7 | 25.0 | 4.5 | 36.0 | 14.9 | 20.1 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 |
1
| Method | Scene1 | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | | | Scratch | 11.9 | 15.2 | 35.4 | 49.4 | 28.0 | 16.3 | 9.9 | 31.8 | 45.1 | 25.8 | | P3D | 2.9 | 17.4 | 37.4 | 18.3 | 19.0 | 2.1 | 11.1 | 25.2 | 6.1 | 11.2 | | P3DFinetuned | 13.4 | 26.4 | 43.9 | 53.0 | 34.2 | 20.0 | 12.1 | 33.7 | 24.6 | 22.6 | | ResultsonP3D+ | 10.8 | 38.5 | 41.8 | 55.8 | 36.7 | 9.1 | 34.2 | 37.2 | 46.7 | 31.8 | | | Scene2 | | | | | | | | | | | 4ViewAVP | 8ViewAVP | | | | | | | | | | | chair | table | sofa | monitor | Avg | chair | table | sofa | monitor | Avg | |
| 7 | 11 | 740 | 13.2x10 | | --- | --- | --- | --- | | 8 | 10 | 398 | 13.5x10 | | 9 | 13 | 745 | 8.3x10 |
0
| GPUModel | TeslaC2050 | GeForceGT640 | | --- | --- | --- | | CUDADriver | 4.2 | 5.0 | | CUDARuntime | 4.2 | 4.2 | | CUDACapability | 2.0 | 3.0 | | GPUArchitecture | FermiGF100 | KeplerGK107 | | GlobalMemory | 5GB | 2GB |
| SharedMemoryperMP | 48KB | 16KB | | --- | --- | --- | | Registers | 32768 | 65536 | | WarpSize | 32 | 32 | | CUDACores | 448 | 384 | | Multiprocessors(MP) | 14 | 2 | | TotalSharedMemory | 672KB | 32KB | | LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |
1
| GPUModel | TeslaC2050 | GeForceGT640 | | --- | --- | --- | | CUDADriver | 4.2 | 5.0 | | CUDARuntime | 4.2 | 4.2 | | CUDACapability | 2.0 | 3.0 | | GPUArchitecture | FermiGF100 | KeplerGK107 | | GlobalMemory | 5GB | 2GB |
| GPU | GTX1080 | TitanX | | --- | --- | --- | | ComputeCapability | 6.1 | 6.1 | | GlobalMem(GB) | 8 | 10 | | #ofSMs | 20 | 28 | | CoreClock(MHz) | 1607 | 1417 | | MemClock(MHz) | 5005 | 5005 | | MemBusWidth | 256 | 384 | | L2Cache(KB) | 2048 | 3072 |
0
| GPUModel | TeslaC2050 | GeForceGT640 | | --- | --- | --- | | CUDADriver | 4.2 | 5.0 | | CUDARuntime | 4.2 | 4.2 | | CUDACapability | 2.0 | 3.0 | | GPUArchitecture | FermiGF100 | KeplerGK107 | | GlobalMemory | 5GB | 2GB | | SharedMemoryperMP | 48KB | 16KB | | Registers | 32768 | 65536 | | WarpSize | 32 | 32 | | CUDACores | 448 | 384 |
| Multiprocessors(MP) | 14 | 2 | | --- | --- | --- | | TotalSharedMemory | 672KB | 32KB | | LinuxKernel | 3.3.7-x8664 | 3.5.2-x8664 |
1
| GPUModel | TeslaC2050 | GeForceGT640 | | --- | --- | --- | | CUDADriver | 4.2 | 5.0 | | CUDARuntime | 4.2 | 4.2 | | CUDACapability | 2.0 | 3.0 | | GPUArchitecture | FermiGF100 | KeplerGK107 | | GlobalMemory | 5GB | 2GB | | SharedMemoryperMP | 48KB | 16KB | | Registers | 32768 | 65536 | | WarpSize | 32 | 32 | | CUDACores | 448 | 384 |
| #ofSMs | 20 | 28 | | --- | --- | --- | | CoreClock(MHz) | 1607 | 1417 | | MemClock(MHz) | 5005 | 5005 | | MemBusWidth | 256 | 384 | | L2Cache(KB) | 2048 | 3072 |
0
| Category | Problems | | --- | --- | | LinearAlgebra | VectorDotProduct<br>MatrixMultiplication | | Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |
| ImageProcessing | Grayscaleconversion<br>Medianfiltering | | --- | --- | | DivideandConquer | MonteCarlo<br>PiusingSeriesSum |
1
| Category | Problems | | --- | --- | | LinearAlgebra | VectorDotProduct<br>MatrixMultiplication | | Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort |
| ProblemType | FactorType | Mean | Median | Best | Worst | | --- | --- | --- | --- | --- | --- | | SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 | | SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 | | NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 | | NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |
0
| Category | Problems | | --- | --- | | LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |
| Reduction,Scan,Sort | ArraySum<br>Scan<br>Quicksort | | --- | --- | | ImageProcessing | Grayscaleconversion<br>Medianfiltering | | DivideandConquer | MonteCarlo<br>PiusingSeriesSum |
1
| Category | Problems | | --- | --- | | LinearAlgebra | VectorDotProduct<br>MatrixMultiplication |
| SectionsRemoved | MemoryTable | 14.025 | 12.835 | 8.205 | 28.042 | | --- | --- | --- | --- | --- | --- | | NoisyEvidence | Subspace | 1.459 | 1.238 | 0.635 | 4.303 | | NoisyEvidence | MemoryTable | 13.100 | 10.399 | 4.932 | 42.328 |
0
| CameraModel | Training | Validation | Test | | --- | --- | --- | --- | | AS-One | 90000 | 25500 | 12500 | | ES-D5100 | 37500 | 10500 | 5000 | | MK-Powershot | 35000 | 10000 | 5000 | | MK-s860 | 35500 | 10000 | 5000 | | PAR-1233 | 71000 | 20000 | 10000 | | PAR-1476 | 107000 | 30500 | 15000 |
| PAR-1477 | 70000 | 20000 | 9500 | | --- | --- | --- | --- | | PAR-A015 | 40500 | 11500 | 5500 | | PAR-A075 | 26000 | 7000 | 3500 | | PAR-A106 | 54000 | 15500 | 7500 |
1
| CameraModel | Training | Validation | Test | | --- | --- | --- | --- | | AS-One | 90000 | 25500 | 12500 | | ES-D5100 | 37500 | 10500 | 5000 | | MK-Powershot | 35000 | 10000 | 5000 | | MK-s860 | 35500 | 10000 | 5000 | | PAR-1233 | 71000 | 20000 | 10000 | | PAR-1476 | 107000 | 30500 | 15000 |
| | Training | Testing | Validation | | --- | --- | --- | --- | | ModelI | 3588 | 1184 | 1189 | | ModelII | 5259 | 1763 | 1746 | | ModelIII | 3980 | 1368 | 1350 | | ModelIV | 2212 | 733 | 742 | | Total | 15039 | 5048 | 5027 |
0
| CameraModel | Training | Validation | Test | | --- | --- | --- | --- | | AS-One | 90000 | 25500 | 12500 | | ES-D5100 | 37500 | 10500 | 5000 | | MK-Powershot | 35000 | 10000 | 5000 | | MK-s860 | 35500 | 10000 | 5000 |
| PAR-1233 | 71000 | 20000 | 10000 | | --- | --- | --- | --- | | PAR-1476 | 107000 | 30500 | 15000 | | PAR-1477 | 70000 | 20000 | 9500 | | PAR-A015 | 40500 | 11500 | 5500 | | PAR-A075 | 26000 | 7000 | 3500 | | PAR-A106 | 54000 | 15500 | 7500 |
1
| CameraModel | Training | Validation | Test | | --- | --- | --- | --- | | AS-One | 90000 | 25500 | 12500 | | ES-D5100 | 37500 | 10500 | 5000 | | MK-Powershot | 35000 | 10000 | 5000 | | MK-s860 | 35500 | 10000 | 5000 |
| ModelIV | 2212 | 733 | 742 | | --- | --- | --- | --- | | Total | 15039 | 5048 | 5027 |
0
| Portion | 1Annot. | 2Annot. | 3Annot. | | --- | --- | --- | --- | | 1-2400 | #08 | #01 | #04 | | 2401-4800 | #04 | #03 | #01 | | 4801-7200 | #01 | #04 | #08 |
| 7201-9600 | #03 | #08 | #02 | | --- | --- | --- | --- | | 9601-11185 | #06 | #05 | #03 | | 11186-12772 | #07 | #02 | #06 |
1
| Portion | 1Annot. | 2Annot. | 3Annot. | | --- | --- | --- | --- | | 1-2400 | #08 | #01 | #04 | | 2401-4800 | #04 | #03 | #01 | | 4801-7200 | #01 | #04 | #08 |
| 761 | 12 | | --- | --- | | 899 | 35 | | 442 | 4 | | 2256 | 173 | | 349 | 1 | | 446 | 2 | | 307 | 1 | | 1472 | 142 | | 332 | 1 | | 941 | 81 | | 646 | 39 | | 1922 | 201 | | 623 | 38 | | 405 | 12 | | 527 | 22 | | 491 | 24 | | 531 | 23 | | 474 | 27 | | 515 | 22 | | 856 | 104 | | 424 | 17 | | 515 | 37 | | 403 | 17 | | 1615 | 186 |
0
| Portion | 1Annot. | 2Annot. | 3Annot. | | --- | --- | --- | --- | | 1-2400 | #08 | #01 | #04 | | 2401-4800 | #04 | #03 | #01 | | 4801-7200 | #01 | #04 | #08 | | 7201-9600 | #03 | #08 | #02 |
| 9601-11185 | #06 | #05 | #03 | | --- | --- | --- | --- | | 11186-12772 | #07 | #02 | #06 |
1
| Portion | 1Annot. | 2Annot. | 3Annot. | | --- | --- | --- | --- | | 1-2400 | #08 | #01 | #04 | | 2401-4800 | #04 | #03 | #01 | | 4801-7200 | #01 | #04 | #08 | | 7201-9600 | #03 | #08 | #02 |
| 623 | 38 | | --- | --- | | 405 | 12 | | 527 | 22 | | 491 | 24 | | 531 | 23 | | 474 | 27 | | 515 | 22 | | 856 | 104 | | 424 | 17 | | 515 | 37 | | 403 | 17 | | 1615 | 186 |
0
| | CROATIAN | ENGLISH | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 | | T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 | | ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |
1
| | CROATIAN | ENGLISH | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| CROATIAN | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR | | --- | --- | --- | --- | --- | --- | --- | --- | | Freq. | 0.99 | 0.95 | 0.96 | -0.18 | 0.93 | 0.96 | -0.15 | | TSP | 0.01 | 0.42 | -0.03 | -0.26 | 0.39 | 0.32 | -0.28 | | ENGLISH | CO-SHU | CO-SIN | CO-SYL | CO-GR | SHU-SIN | SHU-SYL | SHU-GR | | Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 | | TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |
0
| | CROATIAN | ENGLISH | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| L | 4.01 | 1.81 | 3.74 | 1.86 | 1.58 | 3.47 | 1.96 | 0.45 | 1.88 | 1.51 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | C | 0.167 | 0.120 | 0.182 | 0.255 | 0.636 | 0.286 | 0.153 | 0.295 | 0.057 | 0.838 | | T | 0.004 | 0.003 | 0.013 | 0.120 | 0.522 | 0.009 | 0.014 | 0.016 | 0.020 | 0.654 | | ω | 2 | 2 | 2 | 17 | 1 | 3 | 3 | 1 | 54 | 1 |
1
| | CROATIAN | ENGLISH | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | CO | SIN | SHU | SYL | GR | CO | SIN | SHU | SYL | GR | | N | 23359 | 23359 | 23359 | 2634 | 34 | 10930 | 10930 | 10930 | 2599 | 26 | | K | 71860 | 70155 | 86214 | 18849 | 491 | 50299 | 52221 | 58920 | 6053 | 333 |
| Freq. | 0.93 | 0.91 | 0.86 | -0.30 | 0.84 | 0.74 | -0.17 | | --- | --- | --- | --- | --- | --- | --- | --- | | TSP | -0.26 | 0.92 | 0.73 | 0.39 | 0.04 | 0.35 | -0.27 |
0
| English-Spanish-858instances | | | | | | --- | --- | --- | --- | --- | | | NLL | NLPD | MAE | r | | EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 | | logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |
| tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 | | --- | --- | --- | --- | --- | | tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 | | tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |
1
| English-Spanish-858instances | | | | | | --- | --- | --- | --- | --- | | | NLL | NLPD | MAE | r | | EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 | | logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 |
| English-Spanish | | | | | | --- | --- | --- | --- | --- | | | Optimistic | Pessimistic | | | | | AL | Linex | AL | Linex | | StdGP | 1.187 | 0.447 | 1.633 | 3.009 | | log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |
0
| English-Spanish-858instances | | | | | | --- | --- | --- | --- | --- | | | NLL | NLPD | MAE | r | | EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 | | logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 | | tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |
| tanh2EQ<br>tanh2Mat32<br>tanh2Mat52 | 982.43<br>982.40<br>981.86 | 1.275<br>1.281<br>1.282 | 0.792<br>0.791<br>0.792 | 0.376<br>0.382<br>0.278 | | --- | --- | --- | --- | --- | | tanh3EQ<br>tanh3Mat32<br>tanh3Mat52 | 980.50<br>981.20<br>980.70 | 1.282<br>1.282<br>1.275 | 0.791<br>0.791<br>0.790 | 0.380<br>0.380<br>0.385 |
1
| English-Spanish-858instances | | | | | | --- | --- | --- | --- | --- | | | NLL | NLPD | MAE | r | | EQ<br>Mat32<br>Mat52 | 1244.03<br>1237.48<br>1240.76 | 1.632<br>1.649<br>1.637 | 0.828<br>0.862<br>0.853 | 0.362<br>0.330<br>0.340 | | logEQ<br>logMat32<br>logMat52 | 986.14<br>982.71<br>982.31 | 1.277<br>1.271<br>1.272 | 0.798<br>0.793<br>0.794 | 0.368<br>0.380<br>0.376 | | tanh1EQ<br>tanh1Mat32<br>tanh1Mat52 | 992.19<br>991.39<br>992.20 | 1.274<br>1.272<br>1.274 | 0.790<br>0.790<br>0.791 | 0.375<br>0.379<br>0.376 |
| | AL | Linex | AL | Linex | | --- | --- | --- | --- | --- | | StdGP | 1.187 | 0.447 | 1.633 | 3.009 | | log<br>tanh1<br>tanh2<br>tanh3 | 1.060<br>1.050<br>1.054<br>1.053 | 0.299<br>0.300<br>0.300<br>0.299 | 1.534<br>1.528<br>1.543<br>1.538 | 3.327<br>3.251<br>3.335<br>3.322 |
0
| IncS | Value | | --- | --- | | IncS(f,f)1j | 0.0509 | | IncS(f,f)2j | 0.3038 |
| IncS(f,f)3j | 0.0506 | | --- | --- | | IncS(f,f)4j | 0.4653 |
1
| IncS | Value | | --- | --- | | IncS(f,f)1j | 0.0509 | | IncS(f,f)2j | 0.3038 |
| IncP | Value | | --- | --- | | IncP(f,f)1j | 0.1921 | | IncP(f,f)2j | 0.3217 | | IncP(f,f)3j | 0.60317 | | IncP(f,f)4j | 0.1852 |
0
| IncS | Value | | --- | --- | | IncS(f,f)1j | 0.0509 |
| IncS(f,f)2j | 0.3038 | | --- | --- | | IncS(f,f)3j | 0.0506 | | IncS(f,f)4j | 0.4653 |
1
| IncS | Value | | --- | --- | | IncS(f,f)1j | 0.0509 |
| IncP(f,f)2j | 0.3217 | | --- | --- | | IncP(f,f)3j | 0.60317 | | IncP(f,f)4j | 0.1852 |
0
| Method | HMDB51 | UCF101 | | --- | --- | --- | | idt | 57.2 | 85.9 | | idt+high-Dencodings | 61.1 | 87.9 | | Two-streamCNN(2nets) | 59.4 | 88 | | Multi-skipFeatureStacking | 65.4 | 89.1 |
| C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 | | --- | --- | --- | | TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 | | stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– | | RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |
1
| Method | HMDB51 | UCF101 | | --- | --- | --- | | idt | 57.2 | 85.9 | | idt+high-Dencodings | 61.1 | 87.9 | | Two-streamCNN(2nets) | 59.4 | 88 | | Multi-skipFeatureStacking | 65.4 | 89.1 |
| Model | UCF-101 | HMDB-51 | | --- | --- | --- | | Two-Stream | 88.0 | 59.4 | | IDT | 86.4 | 61.7 | | DynamicImageNetworks+IDT | 89.1 | 65.2 | | TDD+IDT | 91.5 | 65.9 | | Two-StreamFusion+IDT | 93.5 | 69.2 | | TemporalSegmentNetworks | 94.2 | 69.4 | | ST-ResNet+IDT | 94.6 | 70.3 | | DeepNetworks,Sports1Mpre-training | 65.2 | - | | C3Donenetwork,Sports1Mpre-training | 82.3 | - | | C3Densemble,Sports1Mpre-training | 85.2 | - | | C3Densemble+IDT,Sports1Mpre-training | 90.1 | - | | RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 | | Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 | | Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 | | RGB-I3D,Kineticspre-training | 95.1 | 74.3 | | Flow-I3D,Kineticspre-training | 96.5 | 77.3 | | Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
0
| Method | HMDB51 | UCF101 | | --- | --- | --- | | idt | 57.2 | 85.9 | | idt+high-Dencodings | 61.1 | 87.9 |
| Two-streamCNN(2nets) | 59.4 | 88 | | --- | --- | --- | | Multi-skipFeatureStacking | 65.4 | 89.1 | | C3D(1net)<br>C3D(3nets)<br>C3D(3nets)+idt | –<br>–<br>– | 82.3<br>85.2<br>90.4 | | TDD(2nets)<br>TDD(2nets)+idt | 63.2<br>65.9 | 90.3<br>91.5 | | stackedFV<br>stackedFV+idt | 56.21<br>66.78 | –<br>– | | RNN-FV(C3D+VGG-CCA)<br>RNN-FV(C3D+VGG-CCA)+idt | 54.33<br>67.71 | 88.01<br>94.08 |
1
| Method | HMDB51 | UCF101 | | --- | --- | --- | | idt | 57.2 | 85.9 | | idt+high-Dencodings | 61.1 | 87.9 |
| C3Densemble,Sports1Mpre-training | 85.2 | - | | --- | --- | --- | | C3Densemble+IDT,Sports1Mpre-training | 90.1 | - | | RGB-I3D,Imagenet+Kineticspre-training | 95.6 | 74.8 | | Flow-I3D,Imagenet+Kineticspre-training | 96.7 | 77.1 | | Two-StreamI3D,Imagenet+Kineticspre-training | 98.0 | 80.7 | | RGB-I3D,Kineticspre-training | 95.1 | 74.3 | | Flow-I3D,Kineticspre-training | 96.5 | 77.3 | | Two-StreamI3D,Kineticspre-training | 97.8 | 80.9 |
0
| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point | | --- | --- | --- | --- | --- | --- | | Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |
| Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 | | --- | --- | --- | --- | --- | --- | | Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 | | Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 | | Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 | | Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 | | Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 | | Resnet-v1152 | 0.766 | 0.762 | 0.765 | 0.762 | 0.768 | | Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |
1
| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point | | --- | --- | --- | --- | --- | --- | | Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 |
| Network | Asymmetric,<br>per-layer | Symmetric,<br>per-channel | Asymmetric,<br>per-channel | Activation<br>Only | Floating<br>Point | | --- | --- | --- | --- | --- | --- | | Mobilenet-v11224 | 0.001 | 0.591 | 0.703 | 0.708 | 0.709 | | Mobilenet-v21224 | 0.001 | 0.698 | 0.697 | 0.7 | 0.719 | | Nasnet-Mobile | 0.722 | 0.721 | 0.74 | 0.74 | 0.74 | | Mobilenet-v21.4224 | 0.004 | 0.74 | 0.74 | 0.742 | 0.749 | | Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 | | Resnet-v150 | 0.75 | 0.751 | 0.751 | 0.751 | 0.752 | | Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 | | Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 | | Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |
0
| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point | | --- | --- | --- | --- | --- | --- | | Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 | | Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 | | Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 | | Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 | | Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 | | Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 | | Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |
| Resnet-v1152 | 0.766 | 0.762 | 0.765 | 0.762 | 0.768 | | --- | --- | --- | --- | --- | --- | | Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |
1
| Network | Asymmetric,<br>per-layer<br>(Post<br>Training<br>Quantization) | Symmetric,<br>per-channel<br>(Post<br>Training<br>Quantization) | Asymmetric,<br>per-layer<br>(Quantization<br>Aware<br>Training) | Symmetric,<br>per-channel<br>(Quantization<br>Aware<br>Training) | Floating<br>Point | | --- | --- | --- | --- | --- | --- | | Mobilenet-v11224 | 0.001 | 0.591 | 0.70 | 0.707 | 0.709 | | Mobilenet-v21224 | 0.001 | 0.698 | 0.709 | 0.711 | 0.719 | | Nasnet-Mobile | 0.722 | 0.721 | 0.73 | 0.73 | 0.74 | | Mobilenet-v21.4224 | 0.004 | 0.74 | 0.735 | 0.745 | 0.749 | | Inception-v3 | 0.78 | 0.78 | 0.78 | 0.78 | 0.78 | | Resnet-v150 | 0.75 | 0.751 | 0.75 | 0.75 | 0.752 | | Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 |
| Resnet-v250 | 0.75 | 0.75 | 0.75 | 0.75 | 0.756 | | --- | --- | --- | --- | --- | --- | | Resnet-v1152 | 0.766 | 0.762 | 0.767 | 0.761 | 0.768 | | Resnet-v2152 | 0.761 | 0.76 | 0.76 | 0.76 | 0.778 |
0
| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP | | --- | --- | --- | --- | --- | --- | --- | --- | | YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 | | Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |
| Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN | | --- | --- | --- | --- | --- | --- | --- | --- | | YTC | 69.7±4.5 | 74.5±4.5 | 75.2±3.9 | 74.3±4.5 | 75.7±3.4 | 78.5±2.8 | 86.6±1.1 | | Year | 2012 | 2012 | 2013 | 2013 | 2014 | 2015 | |
1
| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP | | --- | --- | --- | --- | --- | --- | --- | --- | | YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 | | Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 |
| | SDR(dB) | SIR(dB) | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | WMDLD | MDLD | GS | WMDLD | MDLD | GS | WMDLD | MDLD | | Dev3Female4 | 11.77 | 6.02 | 16.93 | 22.26 | 23.84 | 22.43 | 12.23 | 6.17 | | Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 | | Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |
0
| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP | | --- | --- | --- | --- | --- | --- | --- | --- | | YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 | | Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 | | Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN |
| YTC | 69.7±4.5 | 74.5±4.5 | 75.2±3.9 | 74.3±4.5 | 75.7±3.4 | 78.5±2.8 | 86.6±1.1 | | --- | --- | --- | --- | --- | --- | --- | --- | | Year | 2012 | 2012 | 2013 | 2013 | 2014 | 2015 | |
1
| Methods | MSM | DCC | MMD | MDA | AHISD | CHISD | SANP | | --- | --- | --- | --- | --- | --- | --- | --- | | YTC | 61.7±4.3 | 65.8±4.5 | 67.7±3.8 | 68.1±4.3 | 66.5±4.5 | 67.4±4.7 | 68.3±5.2 | | Year | 1989 | 2006 | 2008 | 2009 | 2010 | 2010 | 2011 | | Methods | CDL | DFRV | LMKML | SSDML | SFDL | MDML | RRNN |
| Example3×5 | 8.41 | 3.91 | 9.94 | 17.58 | 17.92 | 15.21 | 9.10 | 4.17 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Example4×8 | 5.29 | 2.24 | -18.63 | 13.72 | 16.4 | -17.58 | 6.23 | 2.52 |
0
| NumberofUsers | 262,909 | | --- | --- | | NumberofServices | 39,520 | | NumberofServicesSold | 8,862 |
| TotalRevenue | $1,349,316 | | --- | --- | | AverageRevenueperservice | $152 | | AlexaGlobalRank | 12K |
1
| NumberofUsers | 262,909 | | --- | --- | | NumberofServices | 39,520 | | NumberofServicesSold | 8,862 |
| | 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
| NumberofUsers | 262,909 | | --- | --- | | NumberofServices | 39,520 |
| NumberofServicesSold | 8,862 | | --- | --- | | TotalRevenue | $1,349,316 | | AverageRevenueperservice | $152 | | AlexaGlobalRank | 12K |
1
| NumberofUsers | 262,909 | | --- | --- | | NumberofServices | 39,520 |
| Numberofhapaxlegomena | 69,542 | | --- | --- | | Averagenumberofhapaxlegomenapertweet | 0.583 |
0
| Guardclass | Polygonclass | | | | | | --- | --- | --- | --- | --- | --- | | Inclusion | Type | Simple | Ortho | Mono | Star | | Open | Edge | No | Yes | No | No |
| Diagonal | No | No | No | No | | | --- | --- | --- | --- | --- | --- | | Mobile | No | Yes | Yes | Yes | | | Closed | Edge | No | No | No | No | | Diagonal | No | No | No | No | | | Mobile | No | No | No | ? | |
1
| Guardclass | Polygonclass | | | | | | --- | --- | --- | --- | --- | --- | | Inclusion | Type | Simple | Ortho | Mono | Star | | Open | Edge | No | Yes | No | No |
| | | GlobalKB | LocalKBs | | | --- | --- | --- | --- | --- | | Contexts | ClassesRolesIndiv. | TBoxRBoxABox | TBoxRBoxABox | Totalaxioms | | 1<br>1<br>1<br>1<br>1 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 70<br>350<br>700<br>3.500<br>7.000 | | 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 | | 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 | | 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 | | 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |
0
| Guardclass | Polygonclass | | | | | | --- | --- | --- | --- | --- | --- | | Inclusion | Type | Simple | Ortho | Mono | Star | | Open | Edge | No | Yes | No | No |
| Diagonal | No | No | No | No | | | --- | --- | --- | --- | --- | --- | | Mobile | No | Yes | Yes | Yes | | | Closed | Edge | No | No | No | No | | Diagonal | No | No | No | No | | | Mobile | No | No | No | ? | |
1
| Guardclass | Polygonclass | | | | | | --- | --- | --- | --- | --- | --- | | Inclusion | Type | Simple | Ortho | Mono | Star | | Open | Edge | No | Yes | No | No |
| 5<br>5<br>5<br>5<br>5 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 210<br>1.050<br>2.100<br>10.500<br>21.000 | | --- | --- | --- | --- | --- | | 10<br>10<br>10<br>10<br>10 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 385<br>1.925<br>3.850<br>19.250<br>38.500 | | 50<br>50<br>50<br>50<br>50 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 1.785<br>8.925<br>17.850<br>89.250<br>178.500 | | 100<br>100<br>100<br>100<br>100 | 101020<br>5050100<br>100100200<br>5005001000<br>100010002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 10520<br>5025100<br>10050200<br>5002501000<br>10005002000 | 3.535<br>17.675<br>35.350<br>176.750<br>353.500 |
0
| MAP | Top-1 | Top-5 | Top-10 | Time | | --- | --- | --- | --- | --- | | GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s | | GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s | | GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |
| SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s | | --- | --- | --- | --- | --- | | SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s | | SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s | | SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |
1
| MAP | Top-1 | Top-5 | Top-10 | Time | | --- | --- | --- | --- | --- | | GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s | | GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s | | GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s |
| Region | L | T | mi | vii | siii | κiiii | | --- | --- | --- | --- | --- | --- | --- | | USA | -17.2 | 2.4 | 0.07 | 5.2 | -0.09 | -0.55 | | MEX | -16.9 | 1.8 | -1.7 | 4.8 | -0.31 | -0.10 | | CAN | -8.4 | 0.84 | 0.02 | 3.4 | 2.6 | 9.6 | | JPN | -7.3 | 3.3 | -1.5 | 2.8 | 2.3 | 5.3 | | GBR | -2.4 | 1.1 | -0.43 | 0.74 | 0.48 | -0.56 | | ESP | -2.2 | 1.0 | -0.05 | 0.80 | 1.4 | 2.4 | | PAN | -1.9 | 1.1 | -0.12 | 0.92 | 1.5 | 2.2 | | CRI | -1.6 | 1.5 | -0.15 | 1.1 | 3.0 | 9.6 | | FRA | -1.2 | 0.93 | -0.02 | 0.67 | 1.6 | 3.6 | | DEU | -1.0 | 1.3 | 0.21 | 0.75 | 2.0 | 3.4 | | COL | -0.77 | 1.3 | -0.02 | 0.43 | 1.0 | 0.72 | | ITA | -0.71 | 1.5 | 0.17 | 0.55 | 1.0 | 0.54 | | CHN | -0.68 | 1.6 | -0.02 | 0.25 | 0.88 | 0.55 | | CHL | -0.65 | 1.7 | 0.30 | 0.84 | 2.6 | 7.1 | | SLV | -0.61 | 1.2 | -0.01 | 0.54 | 1.3 | 1.1 | | NZL | -0.58 | 1.4 | 0.02 | 0.48 | 2.2 | 5.4 | | BRA | -0.52 | 1.4 | -0.03 | 0.60 | 3.2 | 11.6 | | ECU | -0.51 | 1.6 | 0.16 | 0.89 | 3.8 | 14.4 | | PER | -0.35 | 1.9 | 0.15 | 0.51 | 2.3 | 6.1 | | AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 | | BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 | | ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 | | Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |
0
| MAP | Top-1 | Top-5 | Top-10 | Time | | --- | --- | --- | --- | --- | | GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s | | GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s | | GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s | | SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |
| SMT-NormalKL | 0.53 | 0.44 | 0.39 | 0.125s | | --- | --- | --- | --- | --- | | SMT-Wasserstein | 0.59 | 0.51 | 0.46 | 9.04s | | SIFT-BoW-Euclidean | 0.43 | 0.37 | 0.32 | 0.0007s |
1
| MAP | Top-1 | Top-5 | Top-10 | Time | | --- | --- | --- | --- | --- | | GMM-NormalKL | 0.53 | 0.46 | 0.42 | 0.375s | | GMM-VariationalKL | 0.45 | 0.42 | 0.38 | 0.016s | | GMM-Wasserstein | 0.62 | 0.52 | 0.46 | 5.147s | | SMT-Riemannian | 0.50 | 0.44 | 0.39 | 0.754s |
| AUS | -0.27 | 1.7 | 0.27 | 0.64 | 1.9 | 2.4 | | --- | --- | --- | --- | --- | --- | --- | | BEL | -0.24 | 1.8 | 0.14 | 0.47 | 2.1 | 3.6 | | ISR | -0.24 | 1.8 | 0.08 | 0.34 | 0.81 | 0.04 | | Average | -3.0 | 1.6 | -0.11 | 1.3 | 1.7 | 4.0 |
0