premise string | hypothesis string | label int64 |
|---|---|---|
| Layer | Depth | Type | Name | Parameters | Topshape |
| --- | --- | --- | --- | --- | --- |
| 23 | 8 | SoftMax | prob | | C |
| 22 | 8 | FC | ip8 | | C |
| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |
| 20 | 7 | ReLU | relu7 | | 4096 | | | 19 | 7 | FC | ip7 | b=1 | 4096 |
| --- | --- | --- | --- | --- | --- |
| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |
| 17 | 6 | ReLU | relu6 | | 4096 |
| 16 | 6 | FC | ip6 | b=1 | 4096 |
| 15 | 5 | Maxpooling | pool5 | k=3x3,s=2 | 6x6x256 |
| 14 | 5 | ReLU | relu5 | | 13x13x256 |
| 13 | 5 | Convolution | conv5 | k=3x3,nb=256,pad=1,b=1 | 13x13x256 |
| 12 | 4 | ReLU | relu4 | | 13x13x384 |
| 11 | 4 | Convolution | conv4 | k=3x3,nb=384,pad=1,b=1 | 13x13x384 |
| 10 | 3 | ReLU | relu3 | | 13x13x384 |
| 9 | 3 | Convolution | conv3 | k=3x3,nb=384,pad=1,b=0 | 13x13x384 |
| 8 | 2 | LRN | norm2 | k=5x5,α=10,β=0,75 | 13x13x256 |
| 7 | 2 | Maxpooling | pool2 | k=3x3,s=2 | 13x13x256 |
| 6 | 2 | ReLU | relu2 | | 27x27x256 |
| 5 | 2 | Convolution | conv2 | k=5x5,nb=256,pad=2,b=1 | 27x27x256 |
| 4 | 1 | LRN | norm1 | k=5x5,α=10,β=0,75 | 27x27x96 |
| 3 | 1 | Maxpooling | pool1 | k=3x3,s=2 | 27x27x96 |
| 2 | 1 | ReLU | relu1 | | 55x55x96 |
| 1 | 1 | Convolution | conv1 | k=11x11,nb=96,s=4,b=0 | 55x55x96 |
| 0 | 0 | Data | data | | 227x227x3 | | 1 |
| Layer | Depth | Type | Name | Parameters | Topshape |
| --- | --- | --- | --- | --- | --- |
| 23 | 8 | SoftMax | prob | | C |
| 22 | 8 | FC | ip8 | | C |
| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |
| 20 | 7 | ReLU | relu7 | | 4096 | | | Layer | Filter/Stride | #Channel | #Filter |
| --- | --- | --- | --- |
| Conv11 | 3×3/1 | 1 | 32 |
| Conv12 | 3×3/1 | 32 | 64 |
| MaxPool | 2×2/2 | 64 | – |
| Conv21 | 3×3/1 | 64 | 64 |
| Conv22 | 3×3/1 | 64 | 128 |
| MaxPool | 2×2/2 | 128 | – |
| Conv31 | 3×3/1 | 128 | 96 |
| Conv32 | 3×3/1 | 96 | 192 |
| MaxPool | 2×2/2 | 192 | – |
| Conv41 | 3×3/1 | 192 | 128 |
| Conv42 | 3×3/1 | 128 | 256 |
| MaxPool | 2×2/2 | 256 | – |
| Conv51 | 3×3/1 | 256 | 160 |
| Conv52 | 3×3/1 | 160 | 320 |
| AvgPool | 6×6/1 | 320 | – |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 | | 0 |
| Layer | Depth | Type | Name | Parameters | Topshape |
| --- | --- | --- | --- | --- | --- |
| 23 | 8 | SoftMax | prob | | C |
| 22 | 8 | FC | ip8 | | C |
| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |
| 20 | 7 | ReLU | relu7 | | 4096 |
| 19 | 7 | FC | ip7 | b=1 | 4096 |
| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |
| 17 | 6 | ReLU | relu6 | | 4096 |
| 16 | 6 | FC | ip6 | b=1 | 4096 | | | 15 | 5 | Maxpooling | pool5 | k=3x3,s=2 | 6x6x256 |
| --- | --- | --- | --- | --- | --- |
| 14 | 5 | ReLU | relu5 | | 13x13x256 |
| 13 | 5 | Convolution | conv5 | k=3x3,nb=256,pad=1,b=1 | 13x13x256 |
| 12 | 4 | ReLU | relu4 | | 13x13x384 |
| 11 | 4 | Convolution | conv4 | k=3x3,nb=384,pad=1,b=1 | 13x13x384 |
| 10 | 3 | ReLU | relu3 | | 13x13x384 |
| 9 | 3 | Convolution | conv3 | k=3x3,nb=384,pad=1,b=0 | 13x13x384 |
| 8 | 2 | LRN | norm2 | k=5x5,α=10,β=0,75 | 13x13x256 |
| 7 | 2 | Maxpooling | pool2 | k=3x3,s=2 | 13x13x256 |
| 6 | 2 | ReLU | relu2 | | 27x27x256 |
| 5 | 2 | Convolution | conv2 | k=5x5,nb=256,pad=2,b=1 | 27x27x256 |
| 4 | 1 | LRN | norm1 | k=5x5,α=10,β=0,75 | 27x27x96 |
| 3 | 1 | Maxpooling | pool1 | k=3x3,s=2 | 27x27x96 |
| 2 | 1 | ReLU | relu1 | | 55x55x96 |
| 1 | 1 | Convolution | conv1 | k=11x11,nb=96,s=4,b=0 | 55x55x96 |
| 0 | 0 | Data | data | | 227x227x3 | | 1 |
| Layer | Depth | Type | Name | Parameters | Topshape |
| --- | --- | --- | --- | --- | --- |
| 23 | 8 | SoftMax | prob | | C |
| 22 | 8 | FC | ip8 | | C |
| 21 | 7 | Dropout | drop7 | ratio=0,5 | 4096 |
| 20 | 7 | ReLU | relu7 | | 4096 |
| 19 | 7 | FC | ip7 | b=1 | 4096 |
| 18 | 6 | Dropout | drop6 | ratio=0,5 | 4096 |
| 17 | 6 | ReLU | relu6 | | 4096 |
| 16 | 6 | FC | ip6 | b=1 | 4096 | | | Conv51 | 3×3/1 | 256 | 160 |
| --- | --- | --- | --- |
| Conv52 | 3×3/1 | 160 | 320 |
| AvgPool | 6×6/1 | 320 | – |
| Dropout1-0.3 | – | – | – |
| FC | 1×320/1 | 320 | 100 | | 0 |
| VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 | | | viaEmilia | 0.7050 | 0.6868 |
| --- | --- | --- |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 1 |
| VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 |
| viaBrennero | 0.4770 | 0.4823 |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 | | | network | ncomm | Q | nG,tot | pG,tot | nL,av | pL,av |
| --- | --- | --- | --- | --- | --- | --- |
| VTc | 4 | 0.332 | 6 | 0.48 | 9 | 10 |
| stn | 58 | 0.530 | 3 | 0.75 | 19 | 10 |
| Rome | 39 | 0.907 | 18 | 10 | 19 | 10 |
| ER | 3.68<br>1.55 | 0.114<br>0.020 | 3.94<br>2.34 | 0.59<br>0.30 | 5.39<br>3.34 | 0.66<br>0.29 |
| benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |
| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |
| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |
| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 | | 0 |
| VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 | | | viaBrennero | 0.4770 | 0.4823 |
| --- | --- | --- |
| viaSanJacopo | 0.6680 | 0.6536 |
| viaPietrasantina | 0.6070 | 0.6083 |
| viaEmilia | 0.7050 | 0.6868 |
| viaPisano | 0.5615 | 0.5510 |
| Averagecorrelation | 0.539 | 0.532 | | 1 |
| VMPaddress | Time<br>Aware | Shortest<br>Path |
| --- | --- | --- |
| viaAeroporto | 0.4604 | 0.4602 |
| viaCascine | 0.3376 | 0.3178 |
| viadiCisanello | 0.5880 | 0.5758 |
| viaToscoRomagnola | 0.4511 | 0.4527 | | | benchm | 3.19<br>0.50 | 0.449<br>0.042 | 3.83<br>2.07 | 0.19<br>0.24 | 5.21<br>3.36 | 0.10<br>0.20 |
| --- | --- | --- | --- | --- | --- | --- |
| kernelaggr. | 18 | 0.426 | 12 | 0.41 | 19 | 0.40 |
| stnaggr. | 9 | 0.34 | 18 | 0.38 | 7 | 0.05 |
| Romeaggr. | 6 | 0.46 | 8 | 0.24 | 5 | 0.86 | | 0 |
| Name | P | R | F |
| --- | --- | --- | --- |
| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 | | | SVM(Linear,C=0.01) | 72.23 | 57.75 | 58.96 |
| --- | --- | --- | --- |
| SVM(Linear,C=0.1) | 73.75 | 64.18 | 67.35 |
| SVM(Linear,C=1) | 73.17 | 64.18 | 67.32 | | 1 |
| Name | P | R | F |
| --- | --- | --- | --- |
| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 | | | 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 | | 0 |
| Name | P | R | F |
| --- | --- | --- | --- |
| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 | | | SVM(Linear,C=0.01) | 72.23 | 57.75 | 58.96 |
| --- | --- | --- | --- |
| SVM(Linear,C=0.1) | 73.75 | 64.18 | 67.35 |
| SVM(Linear,C=1) | 73.17 | 64.18 | 67.32 | | 1 |
| Name | P | R | F |
| --- | --- | --- | --- |
| CNN(FL=[4,6]) | 76.34 | 67.35 | 71.16 | | | 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 | | 0 |
| System | fri/desk | fr2/xyz | fr3/office | fr3/nst |
| --- | --- | --- | --- | --- |
| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |
| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |
| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |
| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |
| Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m | | | Frame-to-model | 0.022m | 0.014m | 0.025m | 0.027m |
| --- | --- | --- | --- | --- |
| ElasticFusion | 0.020m | 0.011m | 0.017m | 0.016m |
| BundleFusion | 0.016m | 0.011m | 0.022m | 0.012m | | 1 |
| System | fri/desk | fr2/xyz | fr3/office | fr3/nst |
| --- | --- | --- | --- | --- |
| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |
| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |
| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |
| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m |
| Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m | | | Models | MR=0.01 | MR=0.04 | MR=0.10 | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | PSNR/BM3D | Loss | |
| ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |
| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |
| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |
| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |
| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 | | 0 |
| System | fri/desk | fr2/xyz | fr3/office | fr3/nst |
| --- | --- | --- | --- | --- |
| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |
| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |
| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |
| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m | | | Kintinuous | 0.037m | 0.029m | 0.030m | 0.031m |
| --- | --- | --- | --- | --- |
| Frame-to-model | 0.022m | 0.014m | 0.025m | 0.027m |
| ElasticFusion | 0.020m | 0.011m | 0.017m | 0.016m |
| BundleFusion | 0.016m | 0.011m | 0.022m | 0.012m | | 1 |
| System | fri/desk | fr2/xyz | fr3/office | fr3/nst |
| --- | --- | --- | --- | --- |
| DVOSlAM | 0.021m | 0.018m | 0.035m | 0.018m |
| RGB-DSLAM | 0.02m | 0.008m | 0.032m | 0.017m |
| MRSMap | 0.043m | 0.020m | 0.042m | 2.018m |
| VoxelHashing | 0.023m | 0.022m | 0.023m | 0.087m | | | ReconNet | 5.307 | 17.27/17.55 | 2.34 | 19.98/20.44 | 1.139 | 22.6793/23.23 | 0.517 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| fc1089 | 5.42 | 17.26/17.60 | 2.25 | 20.05/20.46 | 1.01 | 23.10/23.39 | 0.398 |
| fc-Res10891 | 5.2066 | 17.37/17.71 | 1.9946 | 20.59/21.03 | 0.7991 | 24.08/24.55 | 0.2880 |
| fc-Res10892 | 5.1831 | 17.40/17.79 | 1.9586 | 20.68/21.05 | 0.7756 | 24.28/24.71 | 0.2814 |
| fc-Res10893 | 5.1896 | 17.44/17.80 | 1,9638 | 20.75/20.93 | 0.7696 | 24.32/24.71 | 0.2801 |
| fc-Res10894 | 5.1983 | 17.41/17.75 | 1.9452 | 20.80/21.29 | 0.7650 | 24.25/24.71 | 0.2788 | | 0 |
| N= | K=10 | K=15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| PTP | RTP | VBP | PTP | RTP | VBP | |
| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |
| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |
| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |
| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |
| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |
| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 | | | 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |
| --- | --- | --- | --- | --- | --- | --- |
| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |
| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 | | 1 |
| N= | K=10 | K=15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| PTP | RTP | VBP | PTP | RTP | VBP | |
| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |
| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 |
| 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |
| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |
| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |
| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 | | | t | k | maximaln | ourresult | result | t | k | maximaln | ourresult | result |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 2 | 192 | 551 | 557 | 15 | 2 | 49152 | 147407 | 147421 |
| 8 | 2 | 384 | 1124 | 1131 | 15 | 3 | 57344 | 229266 | 229307 |
| 8 | 3 | 448 | 1731 | 1751 | 15 | 4 | 61440 | 306973 | 307094 |
| 9 | 2 | 768 | 2273 | 2281 | 15 | 5 | 63488 | 380476 | 380778 |
| 9 | 3 | 896 | 3516 | 3539 | 15 | 6 | 64512 | 450699 | 451375 |
| 10 | 2 | 1536 | 4574 | 4583 | 16 | 2 | 98304 | 294860 | 294875 |
| 10 | 3 | 1792 | 7093 | 7119 | 16 | 3 | 114688 | 458635 | 458679 |
| 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |
| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 | | 0 |
| N= | K=10 | K=15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| PTP | RTP | VBP | PTP | RTP | VBP | |
| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |
| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 | | | 30 | 17557 | 15756 | 16635 | 20421 | 18963 | 22486 |
| --- | --- | --- | --- | --- | --- | --- |
| 40 | 15634 | 14004 | 14412 | 17458 | 16464 | 18394 |
| 50 | 14269 | 12931 | 13028 | 15377 | 14690 | 16037 |
| 60 | 13189 | 12179 | 11968 | 14148 | 13542 | 14380 |
| 70 | 12294 | 11361 | 11240 | 13230 | 12652 | 13194 |
| 80 | 11381 | 10680 | 10559 | 12433 | 11982 | 12254 |
| 90 | 10617 | 9873 | 10109 | 11677 | 11313 | 11472 | | 1 |
| N= | K=10 | K=15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| PTP | RTP | VBP | PTP | RTP | VBP | |
| 10 | 32959 | 28147 | 31048 | 42093 | 38372 | 38727 |
| 20 | 21440 | 18449 | 21562 | 26905 | 24586 | 28958 | | | 10 | 4 | 1920 | 9448 | 9524 | 16 | 4 | 122880 | 614158 | 614288 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 11 | 2 | 3072 | 9179 | 9189 | 16 | 5 | 126976 | 761373 | 761698 |
| 11 | 3 | 3584 | 14254 | 14283 | 16 | 6 | 129024 | 902220 | 902949 |
| 11 | 4 | 3840 | 19033 | 19118 | 16 | 7 | 130048 | 1038539 | 1040073 |
| 12 | 2 | 6144 | 18392 | 18403 | 17 | 2 | 196608 | 589769 | 589785 |
| 12 | 3 | 7168 | 28583 | 28615 | 17 | 3 | 229376 | 917380 | 917427 |
| 12 | 4 | 7680 | 38218 | 38312 | 17 | 4 | 245760 | 1228543 | 1228682 |
| 12 | 5 | 7936 | 47257 | 47490 | 17 | 5 | 253952 | 1523198 | 1523546 |
| 13 | 2 | 12288 | 36821 | 36833 | 17 | 6 | 258048 | 1805325 | 1806107 |
| 13 | 3 | 14336 | 57248 | 57283 | 17 | 7 | 260096 | 2078796 | 2080445 |
| 13 | 4 | 15360 | 76603 | 76706 | 18 | 2 | 393216 | 1179590 | 1179607 |
| 13 | 5 | 15872 | 94842 | 95098 | 18 | 3 | 458752 | 1834877 | 1834927 |
| 14 | 2 | 24576 | 73682 | 73695 | 18 | 4 | 491520 | 2457328 | 2457476 |
| 14 | 3 | 28672 | 114585 | 114623 | 18 | 5 | 507904 | 3046879 | 3047250 |
| 14 | 4 | 30720 | 153388 | 153500 | 18 | 6 | 516096 | 3611598 | 3612433 |
| 14 | 5 | 31744 | 190043 | 190322 | 18 | 7 | 520192 | 4159437 | 4161201 |
| 14 | 6 | 32256 | 224970 | 225593 | 18 | 8 | 522240 | 4696076 | 4699666 | | 0 |
| | Scale128×96 | Scale144×112 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |
| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |
| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |
| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |
| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 | | | SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |
| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 | | 1 |
| | Scale128×96 | Scale144×112 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |
| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |
| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |
| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 |
| SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 | | | | Scale176×144 | Scale192×160 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |
| SGEN | 24.12 | 0.7202 | 4.6333 | 24.55 | 0.7330 | 4.6000 | 24.92 | 0.7429 |
| SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |
| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |
| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |
| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |
| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |
| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 | | 0 |
| | Scale128×96 | Scale144×112 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |
| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |
| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |
| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 | | | SRResNet | 22.73 | 0.6827 | 3.0333 | 23.29 | 0.7016 | 3.0667 | 23.81 | 0.7166 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SRGAN | 22.29 | 0.6486 | 2.9444 | 22.78 | 0.6796 | 3.0000 | 23.43 | 0.6927 |
| RED-Net | 22.77 | 0.6809 | 3.6667 | 23.32 | 0.7001 | 3.6333 | 23.83 | 0.7147 |
| URDGN | 22.54 | 0.6688 | 2.8667 | 23.10 | 0.6885 | 3.0667 | 23.56 | 0.7044 | | 1 |
| | Scale128×96 | Scale144×112 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | PSNR | SSIM | MOS | PSNR | SSIM | MOS | PSNR | SSIM |
| SGEN | 22.37 | 0.6555 | 4.4833 | 23.08 | 0.6863 | 4.7833 | 23.61 | 0.7006 |
| SGEN-MSE | 23.00 | 0.6989 | 4.3667 | 23.60 | 0.7161 | 4.5000 | 24.12 | 0.7327 |
| SRCNN | 21.72 | 0.5923 | 1.0000 | 22.22 | 0.6094 | 1.0667 | 22.69 | 0.6236 | | | SGEN-MSE | 24.61 | 0.7501 | 4.3667 | 24.98 | 0.7576 | 4.6333 | 25.39 | 0.7686 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SRCNN | 23.17 | 0.6419 | 1.1500 | 23.58 | 0.6548 | 1.2333 | 23.92 | 0.6643 |
| SRResNet | 24.31 | 0.7328 | 3.3500 | 24.77 | 0.7458 | 3.0833 | 25.04 | 0.7543 |
| SRGAN | 24.03 | 0.7198 | 3.8333 | 24.37 | 0.7297 | 3.9444 | 24.71 | 0.7413 |
| RED-Net | 24.30 | 0.7318 | 3.6667 | 24.73 | 0.7461 | 3.6500 | 25.11 | 0.7560 |
| URDGN | 23.98 | 0.7181 | 2.9333 | 24.42 | 0.7306 | 2.9500 | 24.67 | 0.7396 | | 0 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |
| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |
| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |
| PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 | | | DMESumMinD | 0 | 7 | 0 | 0 | 1 | 1 |
| --- | --- | --- | --- | --- | --- | --- |
| BestDMESumMinD | 0 | 8 | 0 | 2 | 1 | 2 |
| PMSSumMin500 | 18 | 1 | 20 | 13 | 20 | 11 |
| PMSSumMinD500 | 4 | 0 | 5 | 6 | 3 | 7 |
| DMESumMin500 | 0 | 21 | 0 | 8 | 3 | 12 | | 1 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |
| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |
| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 |
| PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 | | | ScoringTechnique | nSn | nSp | sSn | nPPV | sPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMin | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 | | 0 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |
| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |
| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 | | | PMSSumMinD | 4 | 0 | 3 | 4 | 2 | 2 |
| --- | --- | --- | --- | --- | --- | --- |
| DMESumMinD | 0 | 7 | 0 | 0 | 1 | 1 |
| BestDMESumMinD | 0 | 8 | 0 | 2 | 1 | 2 |
| PMSSumMin500 | 18 | 1 | 20 | 13 | 20 | 11 |
| PMSSumMinD500 | 4 | 0 | 5 | 6 | 3 | 7 |
| DMESumMin500 | 0 | 21 | 0 | 8 | 3 | 12 | | 1 |
| ScoringTechnique | nSn | nSp | sSn | nPPV | nPC | nCC |
| --- | --- | --- | --- | --- | --- | --- |
| PMSSumMin | 18 | 0 | 16 | 8 | 13 | 7 |
| DMESumMin | 0 | 3 | 0 | 3 | 2 | 2 |
| BestDMESumMin | 1 | 5 | 1 | 1 | 0 | 0 | | | BestDMESumMin | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| PMSSumMinD | 0.3889 | 0.8745 | 0.4970 | 0.2516 | 0.9999 | 0.1803 | 0.2184 |
| DMESumMinD | 0.0658 | 0.9192 | 0.1265 | 0.0811 | 0.9995 | 0.0377 | -0.0166 |
| BestDMESumMinD | 0.1020 | 0.9646 | 0.1383 | 0.2381 | 0.9992 | 0.0769 | 0.0987 |
| PMSSumMin500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| PMSSumMinD500 | 0.3447 | 0.8695 | 0.4678 | 0.2229 | 1.0000 | 0.1565 | 0.1776 |
| DMESumMin500 | 0.0669 | 0.9663 | 0.0851 | 0.1777 | 1.0000 | 0.0511 | 0.0525 | | 0 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |
| Average | 3 | 38.56 | 40.21 | 40.35 | | | Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |
| --- | --- | --- | --- | --- |
| Average | 4 | 36.20 | 37.52 | 37.91 | | 1 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 |
| Average | 3 | 38.56 | 40.21 | 40.35 | | | Dataset | Scale | Bicubic | SRCNN | TNRD | ESPCN |
| --- | --- | --- | --- | --- | --- |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 3<br>3<br>3<br>3<br>3 | 30.39<br>27.54<br>27.21<br>27.26<br>25.40 | 32.75<br>29.30<br>28.41<br>28.48<br>26.60 | 33.17<br>29.46<br>28.50<br>28.59<br>26.66 | 33.13<br>29.49<br>28.54<br>28.64<br>26.70 |
| Average | 3 | 26.74 | 27.98 | 28.07 | 28.11 |
| Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 | | | Average | 3 | 38.56 | 40.21 | 40.35 |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 4<br>4<br>4<br>4<br>4<br>4<br>4 | 36.47<br>31.69<br>38.79<br>32.16<br>35.68<br>38.76<br>39.85 | 37.53<br>33.69<br>39.48<br>33.17<br>36.68<br>40.51<br>41.55 | 38.06<br>34.22<br>39.60<br>33.59<br>37.11<br>40.87<br>41.92 |
| Average | 4 | 36.20 | 37.52 | 37.91 | | 1 |
| Dataset | Scale | Bicubic | SRCNN | ESPCN |
| --- | --- | --- | --- | --- |
| Bosphorus<br>ReadySetGo<br>Beauty<br>YachtRide<br>ShakeNDry<br>HoneyBee<br>Jockey | 3<br>3<br>3<br>3<br>3<br>3<br>3 | 39.38<br>34.64<br>39.77<br>34.51<br>38.79<br>40.97<br>41.86 | 41.07<br>37.33<br>40.46<br>36.07<br>40.26<br>42.66<br>43.62 | 41.25<br>37.37<br>40.54<br>36.18<br>40.47<br>42.89<br>43.73 | | | Set5<br>Set14<br>BSD300<br>BSD500<br>SuperTexture | 4<br>4<br>4<br>4<br>4 | 28.42<br>26.00<br>25.96<br>25.97<br>23.97 | 30.49<br>27.50<br>26.90<br>26.92<br>24.93 | 30.85<br>27.68<br>27.00<br>27.00<br>24.95 | 30.90<br>27.73<br>27.06<br>27.07<br>25.07 |
| --- | --- | --- | --- | --- | --- |
| Average | 4 | 25.40 | 26.38 | 26.45 | 26.53 | | 0 |
| Architecture | Kinetics | | | | |
| --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 53.9 | – | – | 63.3 | – |
| (b)3D-ConvNet | 56.1 | – | – | – | – | | | (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |
| --- | --- | --- | --- | --- | --- |
| (d)3D-Fused | – | – | 62.7 | – | – |
| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) | | 1 |
| Architecture | Kinetics | | | | |
| --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 53.9 | – | – | 63.3 | – |
| (b)3D-ConvNet | 56.1 | – | – | – | – | | | Architecture | UCF-101 | HMDB-51 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 81.0 | – | – | 36.0 | – | – | 63.3 | – |
| (b)3D-ConvNet | 51.6 | – | – | 24.3 | – | – | 56.1 | – |
| (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 | | 0 |
| Architecture | Kinetics | | | | |
| --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 53.9 | – | – | 63.3 | – | | | (b)3D-ConvNet | 56.1 | – | – | – | – |
| --- | --- | --- | --- | --- | --- |
| (c)Two-Stream | 57.9 | 49.6 | 62.8 | 62.2 | 52.4 |
| (d)3D-Fused | – | – | 62.7 | – | – |
| (e)Two-StreamI3D | 68.4(88.0) | 61.5(83.4) | 71.6(90.0) | 71.1(89.3) | 63.4(84.9) | | 1 |
| Architecture | Kinetics | | | | |
| --- | --- | --- | --- | --- | --- |
| RGB | Flow | RGB+Flow | RGB | Flow | |
| (a)LSTM | 53.9 | – | – | 63.3 | – | | | (c)Two-Stream | 83.6 | 85.6 | 91.2 | 43.2 | 56.3 | 58.3 | 62.2 | 52.4 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| (d)3D-Fused | 83.2 | 85.8 | 89.3 | 49.2 | 55.5 | 56.8 | – | – |
| (e)Two-StreamI3D | 84.5 | 90.6 | 93.4 | 49.8 | 61.9 | 66.4 | 71.1 | 63.4 | | 0 |
| Averagedeletiontime | Averageinsertiontime | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |
| 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 | | | 21.38<br>13.00<br>22.53<br>24.36<br>3.64 | 4.58<br>2.06<br>4.12<br>4.85<br>1.32 | 2.14<br>0.68<br>1.43<br>1.56<br>0.50 | 3.28<br>1.62<br>2.06<br>2.13<br>0.50 | 1.32<br>0.64<br>1.38<br>1.54<br>0.48 | 21.16<br>13.94<br>20.37<br>22.32<br>4.06 | 2.62<br>2.04<br>2.80<br>2.93<br>1.78 | 2.02<br>1.56<br>1.73<br>1.82<br>1.70 | 2.40<br>1.80<br>1.88<br>2.05<br>1.76 | 2.00<br>1.50<br>1.32<br>1.64<br>1.42 | 21.27<br>13.47<br>20.45<br>23.34<br>3.85 | 3.60<br>2.05<br>3.46<br>3.73<br>1.55 | 2.08<br>1.12<br>1.58<br>1.69<br>1.10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10.80<br>13.06 | 2.40<br>2.14 | 0.90<br>1.24 | 1.82<br>1.64 | 0.86<br>1.22 | 10.60<br>12.52 | 2.92<br>1.74 | 2.70<br>1.52 | 2.82<br>1.70 | 2.68<br>1.24 | 10.70<br>12.79 | 2.66<br>1.94 | 1.80<br>1.38 |
| 10.32 | 2.64 | 1.58 | 1.66 | 1.38 | 12.08 | 2.18 | 2.06 | 2.12 | 1.82 | 11.20 | 2.41 | 1.82 |
| 13.60<br>108.20 | 1.56<br>2.10 | 0.64<br>1.12 | 1.32<br>1.82 | 0.54<br>0.91 | 13.64<br>107.52 | 1.64<br>1.74 | 1.32<br>1.52 | 1.34<br>1.64 | 1.32<br>1.21 | 13.62<br>107.86 | 1.60<br>1.92 | 0.98<br>1.32 | | 1 |
| Averagedeletiontime | Averageinsertiontime | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X |
| 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 | | | | F=10,H=1,K=10 | F=10,H=1,K=25 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Period(t) | at | bt | yt | xt | ht | qt | yt | xt | ht | qt |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 1<br>1<br>1<br>0.5<br>0.5<br>0.5 | 1<br>1<br>0<br>1<br>1<br>1 | 5.00<br>9.50<br>0.00<br>10.00<br>10.00<br>10.00 | 0.00<br>4.50<br>0.00<br>0.00<br>0.00<br>0.00 | 5.00<br>5.00<br>4.50<br>10.00<br>10.00<br>10.00 | 1<br>0<br>0<br>1<br>1<br>0 | 13.49<br>0.00<br>0.00<br>10.00<br>19.00<br>0.00 | 8.49<br>4.00<br>0.00<br>0.00<br>9.00<br>0.00 | 4.99<br>4.50<br>4.00<br>10.00<br>10.00<br>9.00 |
| | Π=170.25 | Π=171.75 | | | | | | | | |
| 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |
| | Π=429.00 | Π=768.875 | | | | | | | | | | 0 |
| Averagedeletiontime | Averageinsertiontime | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X | | | 2.38<br>4.12<br>9.14<br>5.94<br>12.08 | 1.06<br>2.58<br>1.30<br>1.52<br>1.68 | 0.54<br>1.30<br>0.36<br>0.64<br>1.26 | 1.00<br>1.58<br>1.12<br>1.30<br>1.48 | 0.48<br>1.20<br>0.32<br>0.60<br>1.22 | 2.80<br>5.30<br>9.92<br>6.24<br>12.22 | 1.32<br>1.46<br>1.56<br>1.50<br>1.52 | 1.20<br>1.32<br>1.40<br>1.40<br>1.42 | 1.28<br>1.40<br>1.42<br>1.36<br>1.44 | 1.14<br>1.20<br>1.40<br>1.32<br>1.38 | 2.59<br>4.71<br>9.53<br>6.09<br>12.15 | 1.19<br>2.02<br>1.43<br>1.51<br>1.60 | 0.87<br>1.31<br>0.88<br>1.02<br>1.34 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 21.38<br>13.00<br>22.53<br>24.36<br>3.64 | 4.58<br>2.06<br>4.12<br>4.85<br>1.32 | 2.14<br>0.68<br>1.43<br>1.56<br>0.50 | 3.28<br>1.62<br>2.06<br>2.13<br>0.50 | 1.32<br>0.64<br>1.38<br>1.54<br>0.48 | 21.16<br>13.94<br>20.37<br>22.32<br>4.06 | 2.62<br>2.04<br>2.80<br>2.93<br>1.78 | 2.02<br>1.56<br>1.73<br>1.82<br>1.70 | 2.40<br>1.80<br>1.88<br>2.05<br>1.76 | 2.00<br>1.50<br>1.32<br>1.64<br>1.42 | 21.27<br>13.47<br>20.45<br>23.34<br>3.85 | 3.60<br>2.05<br>3.46<br>3.73<br>1.55 | 2.08<br>1.12<br>1.58<br>1.69<br>1.10 |
| 10.80<br>13.06 | 2.40<br>2.14 | 0.90<br>1.24 | 1.82<br>1.64 | 0.86<br>1.22 | 10.60<br>12.52 | 2.92<br>1.74 | 2.70<br>1.52 | 2.82<br>1.70 | 2.68<br>1.24 | 10.70<br>12.79 | 2.66<br>1.94 | 1.80<br>1.38 |
| 10.32 | 2.64 | 1.58 | 1.66 | 1.38 | 12.08 | 2.18 | 2.06 | 2.12 | 1.82 | 11.20 | 2.41 | 1.82 |
| 13.60<br>108.20 | 1.56<br>2.10 | 0.64<br>1.12 | 1.32<br>1.82 | 0.54<br>0.91 | 13.64<br>107.52 | 1.64<br>1.74 | 1.32<br>1.52 | 1.34<br>1.64 | 1.32<br>1.21 | 13.62<br>107.86 | 1.60<br>1.92 | 0.98<br>1.32 | | 1 |
| Averagedeletiontime | Averageinsertiontime | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B | N | X | Y | XY | B | N | X | Y | XY | B | N | X | | | 1<br>2<br>3<br>4<br>5<br>6 | 10<br>10<br>10<br>10<br>10<br>10 | 0.25<br>0.25<br>0.25<br>0.125<br>0.125<br>0.125 | 1<br>1<br>1<br>1<br>1<br>1 | 10.00<br>10.00<br>10.00<br>10.00<br>10.00<br>10.00 | 0.00<br>0.00<br>2.00<br>0.00<br>0.00<br>0.00 | 10.00<br>10.00<br>8.00<br>12.00<br>10.00<br>10.00 | 1<br>1<br>1<br>1<br>1<br>1 | 20.00<br>23.01<br>25.00<br>25.00<br>25.00<br>25.00 | 0.00<br>3.01<br>10.01<br>3.00<br>0.00<br>0.00 | 20.00<br>20.00<br>18.00<br>32.01<br>28.00<br>25.00 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | Π=429.00 | Π=768.875 | | | | | | | | | | 0 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {11} | {37} | {37} | {37} | | | 2 | {11,14} | {14,26} | {26,37} | {14,26} |
| --- | --- | --- | --- | --- |
| 3 | {1,14,29},...(6) | {11,14,29},...(6) | {11,26,37} | {11,14,29} |
| 4 | {11,14,29,37},...(440) | {11,14,29,37},...(440) | {11,14,26,37} | {11,14,29,37} | | 1 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {11} | {37} | {37} | {37} | | | n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {29},...(1) | {15} | {1} | {29} |
| 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |
| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |
| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} | | 0 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {11} | {37} | {37} | {37} |
| 2 | {11,14} | {14,26} | {26,37} | {14,26} | | | 3 | {1,14,29},...(6) | {11,14,29},...(6) | {11,26,37} | {11,14,29} |
| --- | --- | --- | --- | --- |
| 4 | {11,14,29,37},...(440) | {11,14,29,37},...(440) | {11,14,26,37} | {11,14,29,37} | | 1 |
| n | degree | closeness | betweenness | random-walk |
| --- | --- | --- | --- | --- |
| 1 | {11} | {37} | {37} | {37} |
| 2 | {11,14} | {14,26} | {26,37} | {14,26} | | | 2 | {2,29} | {0,15},...(1) | {1,2} | {29,39} |
| --- | --- | --- | --- | --- |
| 3 | {2,8,29},...(3) | {0,15,32},...(7) | {1,2,8} | {2,8,39} |
| 4 | {2,8,29,39},...(2) | {2,26,29,39},...(1) | {2,8,10,29} | {2,26,29,39} | | 0 |
| | Arabic | English |
| --- | --- | --- |
| Sentences | 8M | | | | Runningwords | 189M | 186M |
| --- | --- | --- |
| Vocabulary | 608K | 519K |
| Tunesentences | 1510(NN),1080(MERT) | |
| Testsentences | 1137 | | | 1 |
| | Arabic | English |
| --- | --- | --- |
| Sentences | 8M | | | | | Chinese | English |
| --- | --- | --- |
| Sentences | 13M | |
| Runningwords | 255M | 279M |
| Vocabulary | 370K | 833K |
| Tunesentences | 1844(NN),985(MERT) | |
| Testsentences | 1124 | | | 0 |
| | Arabic | English |
| --- | --- | --- |
| Sentences | 8M | |
| Runningwords | 189M | 186M | | | Vocabulary | 608K | 519K |
| --- | --- | --- |
| Tunesentences | 1510(NN),1080(MERT) | |
| Testsentences | 1137 | | | 1 |
| | Arabic | English |
| --- | --- | --- |
| Sentences | 8M | |
| Runningwords | 189M | 186M | | | Vocabulary | 370K | 833K |
| --- | --- | --- |
| Tunesentences | 1844(NN),985(MERT) | |
| Testsentences | 1124 | | | 0 |
| DeviceSpecifications | ValueUnit | Example |
| --- | --- | --- |
| accountaddress | string | 0xc968efa8019d(hashvalue) |
| networkport | int | 42024 |
| input/outputdata | string | video,audio,text |
| bandwidthrequest | double | [minValue,maxValue] |
| CPUrequest | double | [minValue,maxValue] |
| memoryrequest | double | [minValue,maxValue] |
| storagerequest | double | [minValue,maxValue] | | | MACaddress | string | 00-14-22-01-23-45 |
| --- | --- | --- |
| priority* | int | 1/2/3/4 |
| coinbalance* | double | 200.00 |
| credit* | int | 100 |
| isBlocked* | bool | false |
| isRegistered* | bool | false |
| lastrequestid* | string | 0xcf30613db6a84(hashvalue) | | 1 |
| DeviceSpecifications | ValueUnit | Example |
| --- | --- | --- |
| accountaddress | string | 0xc968efa8019d(hashvalue) |
| networkport | int | 42024 |
| input/outputdata | string | video,audio,text |
| bandwidthrequest | double | [minValue,maxValue] |
| CPUrequest | double | [minValue,maxValue] |
| memoryrequest | double | [minValue,maxValue] |
| storagerequest | double | [minValue,maxValue] | | | InputData | Value(Min-Max) |
| --- | --- |
| Workloadtraceduration(t) | (4-4) |
| RangeofCPUvaluesforresources | (4-10) |
| RangeofMemoryvaluesforresources | (2-16) |
| RangeofNetworkvaluesforresources | (100-1000) |
| RangeofCPUvaluesforutilization | (2-10) |
| RangeofMemoryvaluesforutilization | (1-16) |
| RangeofNetworkvaluesforutilization | (0-1000) |
| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |
| RangeofSLAvaluesofVMs | (0-2) |
| RangeofnumberofVMsforcloudservices | (1-6) |
| Numberofcloudservices | (1-1) |
| Probabilitydistribution | Random | | 0 |
| DeviceSpecifications | ValueUnit | Example |
| --- | --- | --- |
| accountaddress | string | 0xc968efa8019d(hashvalue) |
| networkport | int | 42024 |
| input/outputdata | string | video,audio,text | | | bandwidthrequest | double | [minValue,maxValue] |
| --- | --- | --- |
| CPUrequest | double | [minValue,maxValue] |
| memoryrequest | double | [minValue,maxValue] |
| storagerequest | double | [minValue,maxValue] |
| MACaddress | string | 00-14-22-01-23-45 |
| priority* | int | 1/2/3/4 |
| coinbalance* | double | 200.00 |
| credit* | int | 100 |
| isBlocked* | bool | false |
| isRegistered* | bool | false |
| lastrequestid* | string | 0xcf30613db6a84(hashvalue) | | 1 |
| DeviceSpecifications | ValueUnit | Example |
| --- | --- | --- |
| accountaddress | string | 0xc968efa8019d(hashvalue) |
| networkport | int | 42024 |
| input/outputdata | string | video,audio,text | | | RangeofNetworkvaluesforutilization | (0-1000) |
| --- | --- |
| RangeofrevenuevaluesforexecutingVMs | (0.1-1.5) |
| RangeofSLAvaluesofVMs | (0-2) |
| RangeofnumberofVMsforcloudservices | (1-6) |
| Numberofcloudservices | (1-1) |
| Probabilitydistribution | Random | | 0 |
| Position | Estimated | Actual | Difference |
| --- | --- | --- | --- |
| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |
| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 | | | C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 |
| --- | --- | --- | --- |
| D | ◦<br>180.37 | ◦<br>181.63 | ◦<br>1.26 |
| E | ◦<br>195.93 | ◦<br>197.80 | ◦<br>1.87 |
| F | ◦<br>214.24 | ◦<br>215.53 | ◦<br>1.29 | | 1 |
| Position | Estimated | Actual | Difference |
| --- | --- | --- | --- |
| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |
| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Position | Estimated | Actual | Difference |
| --- | --- | --- | --- |
| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |
| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |
| C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 | | | D | ◦<br>180.37 | ◦<br>181.63 | ◦<br>1.26 |
| --- | --- | --- | --- |
| E | ◦<br>195.93 | ◦<br>197.80 | ◦<br>1.87 |
| F | ◦<br>214.24 | ◦<br>215.53 | ◦<br>1.29 | | 1 |
| Position | Estimated | Actual | Difference |
| --- | --- | --- | --- |
| A | ◦<br>144.25 | ◦<br>143.12 | ◦<br>1.13 |
| B | ◦<br>152.36 | ◦<br>151.21 | ◦<br>1.15 |
| C | ◦<br>166.83 | ◦<br>166.88 | ◦<br>0.05 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| --- | --- | --- |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |
| | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |
| | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 | | | MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 | | 1 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |
| | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |
| | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 | | | Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 81.4 | 75.6 | 63.2 | 55.1 | 47.6 | 31.7 | 55.2 |
| | 85.4 | 76.1 | 73.4 | 65.4 | 64.7 | 46.9 | 66.2 |
| | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |
| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |
| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |
| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |
| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 | | 0 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |
| | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |
| | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 | | | MST | 83.8 | 83.8 | 73.9 | 60.1 | 49.0 | 35.2 | 60.4 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| OA-MST | 86.2 | 86.4 | 77.9 | 65.5 | 52.3 | 38.1 | 63.6 | | 1 |
| Method | Torso | Head | U.Leg | L.Leg | U.Arm | L.Arm | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 88.3 | 81.8 | 64.0 | 50.6 | 42.3 | 21.3 | 52.6 |
| | 86.6 | 68.8 | 56.3 | 50.2 | 30.8 | 20.3 | 47.0 |
| | 91.5 | 85.0 | 66.8 | 54.7 | 38.3 | 23.9 | 54.4 | | | | 97.6 | 93.2 | 83.9 | 75.1 | 72.0 | 48.3 | 74.9 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| ,3Layers | 97.1 | 92.2 | 85.1 | 76.1 | 71.0 | 45.1 | 74.4 |
| ,4Layers | 96.1 | 92.7 | 81.2 | 71.0 | 69.5 | 39.0 | 71.0 |
| MST | 91.2 | 88.8 | 82.0 | 73.2 | 73.2 | 48.6 | 73.6 |
| OA-MST | 92.0 | 89.3 | 84.6 | 77.1 | 74.1 | 50.2 | 75.4 | | 0 |
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| CombinationsofeventdetectorsMAP |
| --- |
| R0.182610p |
| T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p | | | P⊕R0.18931010<br>P⊕R0.19711010p<br>P⊕R⊕R0.1965101010p |
| --- |
| R⊕R0.20111010p | | 1 |
| CombinationsofeventdetectorsMAP |
| --- |
| R0.182610p |
| T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p | | | | Bit | CNT2 | CNT1 |
| --- | --- | --- | --- |
| Conv-FF | 16 | H,WKK | W×HKK |
| Conv-BP | 32 | H,WKK | W×HKK |
| Conv-UP | 32 | P,L | L |
| FC-FF | 16 | P,L | L |
| FC-BP | 32 | P,L | L |
| FC-UP | 32 | h | 1 | | 0 |
| CombinationsofeventdetectorsMAP |
| --- |
| R0.182610p | | | T⊕T⊕P0.174301010<br>T⊕T⊕R0.166201010<br>T⊕T⊕R0.164701010p |
| --- |
| P⊕R0.18931010<br>P⊕R0.19711010p<br>P⊕R⊕R0.1965101010p |
| R⊕R0.20111010p | | 1 |
| CombinationsofeventdetectorsMAP |
| --- |
| R0.182610p | | | FC-BP | 32 | P,L | L |
| --- | --- | --- | --- |
| FC-UP | 32 | h | 1 | | 0 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |
| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 | | | 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |
| --- | --- | --- | --- | --- | --- |
| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 | | 1 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |
| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 | | | TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |
| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |
| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |
| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 | | 0 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |
| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 | | | 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |
| --- | --- | --- | --- | --- | --- |
| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 | | 1 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |
| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 | | | 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 |
| --- | --- | --- | --- | --- | --- |
| 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |
| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 | | 0 |
| Facts | Numberofcells |
| --- | --- |
| Salefacts | 7000 |
| Dimensions | Numberofinstances |
| Customer | 1000 |
| Supplier | 1000 |
| Date | 500 |
| Part | 1000 |
| Documents | Size(MB) | | | facts.xmlsales | 2.14 |
| --- | --- |
| dimension.xmlCustomer | 0.431 |
| dimension.xmlSupplier | 0.485 |
| dimension.xmlDate | 0.104 |
| dimension.xmlPart | 0.388 | | 1 |
| Facts | Numberofcells |
| --- | --- |
| Salefacts | 7000 |
| Dimensions | Numberofinstances |
| Customer | 1000 |
| Supplier | 1000 |
| Date | 500 |
| Part | 1000 |
| Documents | Size(MB) | | | Facts | Maximumnumberofcells |
| --- | --- |
| Salefacts | 7000 |
| Dimensions | Numberofinstances |
| Customer | 1000 |
| Supplier | 1000 |
| Date | 500 |
| Part | 1000 |
| Documents | Size(MB) |
| facts.xmlsales | 2.14 |
| dimension.xmlCustomer | 0.431 |
| dimension.xmlSupplier | 0.485 |
| dimension.xmlDate | 0.104 |
| dimension.xmlPart | 0.388 | | 0 |
| Facts | Numberofcells |
| --- | --- |
| Salefacts | 7000 |
| Dimensions | Numberofinstances |
| Customer | 1000 |
| Supplier | 1000 | | | Date | 500 |
| --- | --- |
| Part | 1000 |
| Documents | Size(MB) |
| facts.xmlsales | 2.14 |
| dimension.xmlCustomer | 0.431 |
| dimension.xmlSupplier | 0.485 |
| dimension.xmlDate | 0.104 |
| dimension.xmlPart | 0.388 | | 1 |
| Facts | Numberofcells |
| --- | --- |
| Salefacts | 7000 |
| Dimensions | Numberofinstances |
| Customer | 1000 |
| Supplier | 1000 | | | Date | 500 |
| --- | --- |
| Part | 1000 |
| Documents | Size(MB) |
| facts.xmlsales | 2.14 |
| dimension.xmlCustomer | 0.431 |
| dimension.xmlSupplier | 0.485 |
| dimension.xmlDate | 0.104 |
| dimension.xmlPart | 0.388 | | 0 |
| Parameter | 32-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ | | | Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |
| --- | --- | --- | --- |
| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |
| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 | | 1 |
| Parameter | 32-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ | | | Parameter | 32-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 323.358µ | 76.8077n | 957.513µ |
| Averagepower<br>consumption(watts) | 43.834E-05 | 11.923E-05 | 122.50E-05 |
| PropagationDelay(s) | 262.36p | 680.36f | 280.43p |
| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 | | 0 |
| Parameter | 32-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ | | | Averagepower<br>consumption(watts) | 4.4421E-04 | 1.2223E-04 | 5.8691E-04 |
| --- | --- | --- | --- |
| PropagationDelay(s) | 174.63p | 658.85f | 223.85p |
| Powerdelayproduct(J) | 77.572E-15 | 80.53E-18 | 131.37E-15 | | 1 |
| Parameter | 32-bit | | |
| --- | --- | --- | --- |
| Silicon | Carbon | Silicon | |
| Totalpowerdissipation<br>(watts) | 234.8754µ | 79.3373n | 301.5764µ | | | PropagationDelay(s) | 262.36p | 680.36f | 280.43p |
| --- | --- | --- | --- |
| Powerdelayproduct(J) | 115E-15 | 81.1E-15 | 343.52E-15 | | 0 |
| | RGBD1000 | NJUDS2000 |
| --- | --- | --- |
| DRFI | 0.597689 | 0.631111 |
| DSR | 0.556269 | 0.599731 | | | LMH | 0.667106 | 0.611340 |
| --- | --- | --- |
| ACSD | 0.535048 | 0.696379 |
| GP | 0.723314 | 0.655915 |
| LBE | 0.727232 | 0.729319 |
| ELD | 0.724766 | 0.764561 |
| DHS | 0.787486 | 0.817152 |
| Ours | 0.847635 | 0.821269 | | 1 |
| | RGBD1000 | NJUDS2000 |
| --- | --- | --- |
| DRFI | 0.597689 | 0.631111 |
| DSR | 0.556269 | 0.599731 | | | | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| | RGBD1000 | NJUDS2000 |
| --- | --- | --- |
| DRFI | 0.597689 | 0.631111 |
| DSR | 0.556269 | 0.599731 |
| LMH | 0.667106 | 0.611340 |
| ACSD | 0.535048 | 0.696379 |
| GP | 0.723314 | 0.655915 | | | LBE | 0.727232 | 0.729319 |
| --- | --- | --- |
| ELD | 0.724766 | 0.764561 |
| DHS | 0.787486 | 0.817152 |
| Ours | 0.847635 | 0.821269 | | 1 |
| | RGBD1000 | NJUDS2000 |
| --- | --- | --- |
| DRFI | 0.597689 | 0.631111 |
| DSR | 0.556269 | 0.599731 |
| LMH | 0.667106 | 0.611340 |
| ACSD | 0.535048 | 0.696379 |
| GP | 0.723314 | 0.655915 | | | MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| --- | --- | --- | --- | --- | --- |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 0 |
| 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 | | 1 |
| ProblemType | FactorType | Mean | Median | Best | Worst |
| --- | --- | --- | --- | --- | --- |
| SectionsRemoved | Subspace | 8.248 | 7.270 | 3.712 | 20.366 | | | ProblemType | FactorType | Mean | Median | Best | Worst |
| --- | --- | --- | --- | --- | --- |
| EyesRemoved | Subspace | 0.0077 | 0.0068 | 0.0021 | 0.0210 |
| EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |
| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |
| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |
| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |
| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |
| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |
| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 | | 0 |
| 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 | | 1 |
| 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 | | | EyesRemoved | MemoryTable | 0.0116 | 0.0107 | 0.0036 | 0.0346 |
| --- | --- | --- | --- | --- | --- |
| RandomDroppedEvidence | Subspace | 0.0041 | 0.0039 | 0.0026 | 0.0061 |
| RandomDroppedEvidence | MemoryTable | 0.0055 | 0.0053 | 0.0023 | 0.0111 |
| Colorization | Subspace | 0.0020 | 0.0015 | 0.0004 | 0.0071 |
| Colorization | MemoryTable | 0.0018 | 0.0016 | 0.0005 | 0.0047 |
| NoisyEvidence | Subspace | 0.0050 | 0.0049 | 0.0040 | 0.0064 |
| NoisyEvidence | MemoryTable | 0.0058 | 0.0055 | 0.0035 | 0.0106 | | 0 |
| Layer | Generator | |
| --- | --- | --- |
| | | | | | 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No |
| --- | --- | --- | --- |
| | Discriminator | | |
| | View1 | View2 | Shared? |
| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | No<br>No<br>No<br>No<br>Yes | | 1 |
| Layer | Generator | |
| --- | --- | --- |
| | | | | | layer | type | kernelsize/stride | output | layer | type |
| --- | --- | --- | --- | --- | --- |
| 1-2 | conv+relu | (3,3)/1-(1,1)/1 | (128,128,32) | 13-14 | conv+relu |
| 3-4 | conv+relu | (3,3)/2-(1,1)/1 | (64,64,32) | 15 | maxpool |
| 5 | maxpool | (3,3)/2 | (32,32,32) | 16-17 | conv+relu |
| 6-7 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 18-19 | conv+relu |
| 8-9 | conv+relu | (3,3)/1-(1,1)/1 | (32,32,64) | 20 | fc+relu+dropout |
| 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |
| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc | | 0 |
| Layer | Generator | | |
| --- | --- | --- | --- |
| | | | |
| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No | | | | Discriminator | | |
| --- | --- | --- | --- |
| | View1 | View2 | Shared? |
| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>Conv(N=20,K=5×5,S=1),MAX-POOL(S=2),LeakyReLU<br>FC(N=1024),ReLU<br>FC(N=1024),Sigmoid | No<br>No<br>No<br>No<br>Yes | | 1 |
| Layer | Generator | | |
| --- | --- | --- | --- |
| | | | |
| 1<br>2<br>3<br>4<br>5 | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=5×5,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN,ReLU<br>Conv(N=20,K=3×3,S=1),BN | Yes<br>Yes<br>Yes<br>Yes<br>No | | | 10 | maxpool | (3,3)/2 | (16,16,64) | 21 | fc+dropout |
| --- | --- | --- | --- | --- | --- |
| 11-12 | conv+relu | (3,3)/1-(1,1)/1 | (16,16,128) | 22 | fc | | 0 |
| Symbol | Definition |
| --- | --- |
| K | Numberofdevices | | | k | Indexofdevices,k∈{1,K} |
| --- | --- |
| wk | Weightofdevicek |
| M | Numberofobjects |
| m | Indexofobjects,m∈{1,M} |
| xm | Observedvalueofdevicekforobjectm |
| xm | Truthfortheobjectm |
| stdm | Thestandarddeviationforthem-thobject | | 1 |
| Symbol | Definition |
| --- | --- |
| K | Numberofdevices | | | Symbol | Meaning |
| --- | --- |
| n | Numberofpatterns |
| p | Numberofinputs(features)inapattern |
| m | Numberofcolumns |
| q | Numberofproximalsynapsespercolumn |
| φ+ | Permanenceincrementamount |
| φ− | Permanencedecrementamount |
| φσ | Windowofpermanenceinitialization |
| ρs | Proximalsynapseactivationtreshold |
| ρd | Proximaldendritesegmentactivationtreshold |
| ρc | Desiredcolumnactivitylevel |
| sduty | Minimumactivitylevelscalingfactor |
| sboost | Permanenceboostingscalingfactor |
| β0 | Maximumboost |
| τ | Dutycycleperiod | | 0 |
| Symbol | Definition |
| --- | --- |
| K | Numberofdevices |
| k | Indexofdevices,k∈{1,K} |
| wk | Weightofdevicek |
| M | Numberofobjects | | | m | Indexofobjects,m∈{1,M} |
| --- | --- |
| xm | Observedvalueofdevicekforobjectm |
| xm | Truthfortheobjectm |
| stdm | Thestandarddeviationforthem-thobject | | 1 |
| Symbol | Definition |
| --- | --- |
| K | Numberofdevices |
| k | Indexofdevices,k∈{1,K} |
| wk | Weightofdevicek |
| M | Numberofobjects | | | ρc | Desiredcolumnactivitylevel |
| --- | --- |
| sduty | Minimumactivitylevelscalingfactor |
| sboost | Permanenceboostingscalingfactor |
| β0 | Maximumboost |
| τ | Dutycycleperiod | | 0 |
| ActionType | #UniqueArgs | RawCount |
| --- | --- | --- |
| SHIFT | 1 | 2,206,274 |
| STOP | 1 | 111,006 |
| EVOKE | 5,532 | 1,080,365 |
| CONNECT | 1,421 | 635,734 | | | ASSIGN | 13 | 5,430 |
| --- | --- | --- |
| Total | 6,968 | 4,038,809 | | 1 |
| ActionType | #UniqueArgs | RawCount |
| --- | --- | --- |
| SHIFT | 1 | 2,206,274 |
| STOP | 1 | 111,006 |
| EVOKE | 5,532 | 1,080,365 |
| CONNECT | 1,421 | 635,734 | | | Event# | EventName | Positive<br>Instances | NearMisses | RelatedVideos |
| --- | --- | --- | --- | --- |
| Ev101 | BirthdayParty | 237 | 6 | 5 |
| Ev102 | FlashMob | 150 | 33 | 4 |
| Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| Ev104 | Parade | 230 | 4 | 4 |
| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |
| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |
| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |
| Ev108 | PersonLandingaFish | 143 | 15 | 9 |
| Ev109 | WeddingCeremony | 219 | 2 | 6 |
| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |
| | Total | 1823 | 115 | 62 | | 0 |
| ActionType | #UniqueArgs | RawCount |
| --- | --- | --- |
| SHIFT | 1 | 2,206,274 |
| STOP | 1 | 111,006 |
| EVOKE | 5,532 | 1,080,365 |
| CONNECT | 1,421 | 635,734 | | | ASSIGN | 13 | 5,430 |
| --- | --- | --- |
| Total | 6,968 | 4,038,809 | | 1 |
| ActionType | #UniqueArgs | RawCount |
| --- | --- | --- |
| SHIFT | 1 | 2,206,274 |
| STOP | 1 | 111,006 |
| EVOKE | 5,532 | 1,080,365 |
| CONNECT | 1,421 | 635,734 | | | Ev103 | GettingaVehicleUnstuck | 141 | 24 | 5 |
| --- | --- | --- | --- | --- |
| Ev104 | Parade | 230 | 4 | 4 |
| Ev105 | PersonAttemptingaBoardTrick | 194 | 16 | 9 |
| Ev106 | PersonGroominganAnimal | 139 | 5 | 6 |
| Ev107 | PersonHand-FeedinganAnimal | 220 | 2 | 3 |
| Ev108 | PersonLandingaFish | 143 | 15 | 9 |
| Ev109 | WeddingCeremony | 219 | 2 | 6 |
| Ev110 | WorkingonaWoodworkingProject | 150 | 8 | 11 |
| | Total | 1823 | 115 | 62 | | 0 |
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