Datasets:
BioMike
/
table-continuation-dataset

Dataset card Data Studio Files
xet
 Community
premise
string
hypothesis
string
label
int64
| Cross-DocumentCoreferenceResults | | | | | | --- | --- | --- | --- | --- | | Fmeasure | B | MUC | CEAFEe | CoNLL | | 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 |
| Within-DocumentCoreferenceResults | | | | | | --- | --- | --- | --- | --- | | 1Iteration<br>2Iterations<br>3Iterations | 69.7<br>70.2<br>70.9 | 55.8<br>60.3<br>61.2 | 68.8<br>69.4<br>69.5 | 64.8<br>66.6<br>67.2 |
1
| Cross-DocumentCoreferenceResults | | | | | | --- | --- | --- | --- | --- | | Fmeasure | B | MUC | CEAFEe | CoNLL | | 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 |
| Reference/System | PR | (P+R)/2F | | --- | --- | --- | | AverageIndividualParser<br>BestIndividualParser | 84.5580.91<br>89.6189.73 | 82.7382.69<br>89.6789.67 | | ParserSwitchingOracle<br>MaximumPrecisionOracle | 93.9293.88<br>100.0096.66 | 93.9093.90<br>98.3398.30 | | SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 | | ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |
0
| Cross-DocumentCoreferenceResults | | | | | | --- | --- | --- | --- | --- | | Fmeasure | B | MUC | CEAFEe | CoNLL |
| 1Iteration<br>2Iterations<br>3Iterations | 56<br>57.9<br>58.3 | 69.3<br>69.9<br>70.6 | 50.3<br>52.4<br>53.1 | 58.5<br>60.1<br>60.7 | | --- | --- | --- | --- | --- | | Within-DocumentCoreferenceResults | | | | | | 1Iteration<br>2Iterations<br>3Iterations | 69.7<br>70.2<br>70.9 | 55.8<br>60.3<br>61.2 | 68.8<br>69.4<br>69.5 | 64.8<br>66.6<br>67.2 |
1
| Cross-DocumentCoreferenceResults | | | | | | --- | --- | --- | --- | --- | | Fmeasure | B | MUC | CEAFEe | CoNLL |
| SimilaritySwitching<br>BayesSwitching | 89.9090.89<br>90.9490.70 | 90.4090.39<br>90.8290.82 | | --- | --- | --- | | ConstituentVoting<br>Na¨ıveBayes | 89.7891.80<br>92.4290.10 | 90.7990.78<br>91.2691.25 |
0
| \|A\| | | | | | --- | --- | --- | --- | | 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 | | 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 | | 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |
| 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 | | --- | --- | --- | --- | | 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 | | 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 | | 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 | | 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 | | 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 | | 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |
1
| \|A\| | | | | | --- | --- | --- | --- | | 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 | | 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 | | 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 |
| 0.414 | 0.245 | 0.033 | 0.018 | 0.012 | 0.032 | 0.043 | 0.064 | 0.075 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.058 | 0.297 | 0.246 | 0.037 | 0.021 | 0.043 | 0.051 | 0.089 | 0.091 | | 0.031 | 0.053 | 0.298 | 0.227 | 0.049 | 0.042 | 0.042 | 0.049 | 0.132 | | 0.031 | 0.041 | 0.089 | 0.345 | 0.182 | 0.057 | 0.037 | 0.039 | 0.116 | | 0.037 | 0.057 | 0.056 | 0.063 | 0.337 | 0.212 | 0.047 | 0.038 | 0.082 | | 0.056 | 0.049 | 0.061 | 0.041 | 0.053 | 0.339 | 0.23 | 0.041 | 0.065 | | 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 | | 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 | | 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 | | 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
0
| \|A\| | | | | | --- | --- | --- | --- | | 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 | | 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 | | 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 | | 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 | | 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 | | 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 | | 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |
| 400 | 0.0254 | 0.1251±0.0187 | 0.4197±0.3608 | | --- | --- | --- | --- | | 450 | 0.0251 | 0.1219±0.0177 | 0.4071±0.3511 | | 500 | 0.0323 | 0.1112±0.0060 | 0.3865±0.3469 |
1
| \|A\| | | | | | --- | --- | --- | --- | | 50 | 0.0034 | 1.4934±0.0732 | 1.7551±0.2097 | | 100 | 0.0063 | 0.7598±0.1477 | 1.0919±0.2929 | | 150 | 0.0068 | 0.4242±0.1062 | 0.7666±0.2876 | | 200 | 0.0125 | 0.2701±0.0630 | 0.5797±0.3345 | | 250 | 0.0071 | 0.2180±0.0648 | 0.5474±0.3435 | | 300 | 0.0153 | 0.1574±0.0409 | 0.4626±0.3511 | | 350 | 0.0217 | 0.1447±0.0258 | 0.4388±0.3511 |
| 0.08 | 0.067 | 0.054 | 0.035 | 0.03 | 0.041 | 0.332 | 0.204 | 0.077 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 0.065 | 0.074 | 0.082 | 0.043 | 0.03 | 0.04 | 0.048 | 0.339 | 0.203 | | 0.05 | 0.044 | 0.066 | 0.065 | 0.048 | 0.033 | 0.048 | 0.044 | 0.488 | | 0.035 | 0.036 | 0.055 | 0.048 | 0.039 | 0.048 | 0.061 | 0.06 | 0.106 |
0
| Feature | | --- | | ResNet |
| P3DResNet(16-frame) | | --- | | P3DResNet(128-frame) | | P3DResNet(16-frame) | | - |
1
| Feature | | --- | | ResNet |
| CNN | Imageresolution | RunTime(ms) | | --- | --- | --- | | AlexNet | 227×227 | 2.3 | | VGG16 | 224×224 | 10 | | Resnet50 | 224×224 | 17 | | SqueezeNet | 224×224 | 2.5 | | SqueezeNet | 448×448 | 4 | | SqueezeNet | 625×625 | 6 |
0
| Feature | | --- | | ResNet | | P3DResNet(16-frame) | | P3DResNet(128-frame) |
| P3DResNet(16-frame) | | --- | | - |
1
| Feature | | --- | | ResNet | | P3DResNet(16-frame) | | P3DResNet(128-frame) |
| VGG16 | 224×224 | 10 | | --- | --- | --- | | Resnet50 | 224×224 | 17 | | SqueezeNet | 224×224 | 2.5 | | SqueezeNet | 448×448 | 4 | | SqueezeNet | 625×625 | 6 |
0
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 | | --- | | -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 | | -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 | | -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 | | -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 | | -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 | | -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 | | --- | | -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 | | -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 | | -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 | | -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |
1
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 | | --- | | -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 | | -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 | | -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 | | -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 | | -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 | | -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 |
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 | | --- | | -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 | | -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 | | -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 | | -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 | | -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 | | -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 | | -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 | | -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 | | -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 | | -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 | | -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |
0
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 | | --- | | -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 | | -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 | | -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1860(attendus=170,ramenes=96.00,corrects=5.00)<br>rappel=0.029precision=0.052f-mesure=0.038 | | --- | | -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 | | -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 | | -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 | | -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 | | -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 | | -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 | | -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |
1
| -classe1800(attendus=169,ramenes=75.00,corrects=4.00)<br>rappel=0.024precision=0.053f-mesure=0.033 | | --- | | -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | -classe1820(attendus=169,ramenes=208.00,corrects=31.00)<br>rappel=0.183precision=0.149f-mesure=0.164 | | -classe1830(attendus=169,ramenes=546.00,corrects=51.00)<br>rappel=0.302precision=0.093f-mesure=0.143 | | -classe1840(attendus=169,ramenes=88.00,corrects=8.00)<br>rappel=0.047precision=0.091f-mesure=0.062 | | -classe1850(attendus=169,ramenes=126.00,corrects=8.00)<br>rappel=0.047precision=0.063f-mesure=0.054 |
| -classe1870(attendus=169,ramenes=102.00,corrects=8.00)<br>rappel=0.047precision=0.078f-mesure=0.059 | | --- | | -classe1880(attendus=169,ramenes=155.00,corrects=14.00)<br>rappel=0.083precision=0.090f-mesure=0.086 | | -classe1890(attendus=197,ramenes=117.00,corrects=8.00)<br>rappel=0.041precision=0.068f-mesure=0.051 | | -classe1900(attendus=203,ramenes=274.00,corrects=20.00)<br>rappel=0.099precision=0.073f-mesure=0.084 | | -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 | | -classe1920(attendus=200,ramenes=137.00,corrects=12.00)<br>rappel=0.060precision=0.088f-mesure=0.071 | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 | | -classe1940(attendus=198,ramenes=528.00,corrects=75.00)<br>rappel=0.379precision=0.142f-mesure=0.207 | | -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.090macroF-mesure=0.095 |
0
| Atomicpropositions | Meaning/definition | | --- | --- | | literal.value | Thevalueofthereceived“literal” |
| f | Thetargethostcompletetheoperation | | --- | --- | | g | Thetargethostallocatesmemoryspace | | p | Thetargethosthasamemoryerror |
1
| Atomicpropositions | Meaning/definition | | --- | --- | | literal.value | Thevalueofthereceived“literal” |
| Atomicpropositions | Meaning/definition | | --- | --- | | attacked.receive.http | ThetargethostreceivesthesameHTTPrequest | | p | theHTTPrequestcontains“n”andhexadecimal0x0a\ | | attacked.xterm | ThetargetserverexecutesanXtermcommand | | attacked.telnet | Thetargetservergeneratesareversetelnetconnection | | telnet.port | Theportnumberofthereversetelnetconnection |
0
| Atomicpropositions | Meaning/definition | | --- | --- | | literal.value | Thevalueofthereceived“literal” | | f | Thetargethostcompletetheoperation |
| g | Thetargethostallocatesmemoryspace | | --- | --- | | p | Thetargethosthasamemoryerror |
1
| Atomicpropositions | Meaning/definition | | --- | --- | | literal.value | Thevalueofthereceived“literal” | | f | Thetargethostcompletetheoperation |
| attacked.telnet | Thetargetservergeneratesareversetelnetconnection | | --- | --- | | telnet.port | Theportnumberofthereversetelnetconnection |
0
| c1 | c2 | c3 | c4 | c5 | AA | OA | | --- | --- | --- | --- | --- | --- | --- | | 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 | | 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 | | 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |
| 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 | | --- | --- | --- | --- | --- | --- | --- | | 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 | | 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |
1
| c1 | c2 | c3 | c4 | c5 | AA | OA | | --- | --- | --- | --- | --- | --- | --- | | 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 | | 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 | | 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 |
| c1 | c2 | c3 | c4 | c5 | AA | OA | | --- | --- | --- | --- | --- | --- | --- | | 0.8689 | 0.8282 | 0.8054 | 0.8297 | 0.8424 | 0.8349 | 0.8623 | | 0.8913 | 0.8648 | 0.8824 | 0.8910 | 0.8231 | 0.8705 | 0.8913 | | 0.9281 | 0.9292 | 0.9386 | 0.9413 | 0.8593 | 0.9193 | 0.9305 | | 0.8628 | 0.9407 | 0.9456 | 0.9354 | 0.8724 | 0.9114 | 0.9214 | | 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 | | 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |
0
| c1 | c2 | c3 | c4 | c5 | AA | OA | | --- | --- | --- | --- | --- | --- | --- | | 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 | | 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 | | 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 | | 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |
| 0.9645 | 0.9439 | 0.9120 | 0.9428 | 0.9409 | 0.9408 | 0.9522 | | --- | --- | --- | --- | --- | --- | --- | | 0.9354 | 0.9423 | 0.9719 | 0.9759 | 0.9645 | 0.9580 | 0.9770 |
1
| c1 | c2 | c3 | c4 | c5 | AA | OA | | --- | --- | --- | --- | --- | --- | --- | | 0.8826 | 0.8682 | 0.8553 | 0.8992 | 0.8697 | 0.8750 | 0.8864 | | 0.8474 | 0.8974 | 0.8794 | 0.8279 | 0.9098 | 0.8724 | 0.8835 | | 0.9132 | 0.9209 | 0.9174 | 0.8656 | 0.9408 | 0.9116 | 0.9187 | | 0.9126 | 0.9400 | 0.9089 | 0.9337 | 0.9159 | 0.9222 | 0.9274 |
| 0.9347 | 0.9739 | 0.9207 | 0.9642 | 0.9242 | 0.9435 | 0.9505 | | --- | --- | --- | --- | --- | --- | --- | | 0.9620 | 0.9483 | 0.9856 | 0.9850 | 0.9879 | 0.9738 | 0.9811 |
0
| Object | Action1Action2Action3Action4Action5 | | --- | --- | | Cup | DrinkMovePoundPourShake | | | 0.0960.1220.1080.1070.110 | | Fork | EatHolePickScratchWhisk | | | 0.1060.0900.0750.0940.100 | | Knife | ChopCutPokeScratchSpread |
| | 0.1570.1550.1090.1230.110 | | --- | --- | | Sponge | FlipScratchSqueezeWashWipe | | | 0.1010.1300.1120.1270.121 |
1
| Object | Action1Action2Action3Action4Action5 | | --- | --- | | Cup | DrinkMovePoundPourShake | | | 0.0960.1220.1080.1070.110 | | Fork | EatHolePickScratchWhisk | | | 0.1060.0900.0750.0940.100 | | Knife | ChopCutPokeScratchSpread |
| Actions | SVM-SW | RNN-SW | CA-RNN | JCR-RNN | RF | RF+T | RF+ST | | --- | --- | --- | --- | --- | --- | --- | --- | | drinking<br>eating<br>writing<br>openingcupboard<br>washinghands<br>openingmicrowave<br>sweeping<br>gargling<br>throwingtrash<br>wiping | 0.146<br>0.465<br>0.645<br>0.308<br>0.562<br>0.607<br>0.461<br>0.437<br>0.554<br>0.857 | 0.441<br>0.550<br>0.859<br>0.321<br>0.668<br>0.665<br>0.590<br>0.550<br>0.674<br>0.747 | 0.584<br>0.558<br>0.749<br>0.490<br>0.672<br>0.468<br>0.597<br>0.579<br>0.430<br>0.761 | 0.574<br>0.523<br>0.822<br>0.495<br>0.718<br>0.703<br>0.643<br>0.623<br>0.459<br>0.780 | 0.253<br>0.661<br>0.761<br>0.427<br>0.678<br>0.561<br>0.224<br>0.383<br>0.626<br>0.916 | 0.298<br>0.662<br>0.858<br>0.478<br>0.860<br>0.567<br>0.273<br>0.368<br>0.671<br>0.948 | 0.517<br>0.645<br>0.803<br>0.555<br>0.860<br>0.610<br>0.437<br>0.722<br>0.688<br>0.977 | | OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 | | TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 | | | | SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |
0
| Object | Action1Action2Action3Action4Action5 | | --- | --- | | Cup | DrinkMovePoundPourShake | | | 0.0960.1220.1080.1070.110 | | Fork | EatHolePickScratchWhisk | | | 0.1060.0900.0750.0940.100 |
| Knife | ChopCutPokeScratchSpread | | --- | --- | | | 0.1570.1550.1090.1230.110 | | Sponge | FlipScratchSqueezeWashWipe | | | 0.1010.1300.1120.1270.121 |
1
| Object | Action1Action2Action3Action4Action5 | | --- | --- | | Cup | DrinkMovePoundPourShake | | | 0.0960.1220.1080.1070.110 | | Fork | EatHolePickScratchWhisk | | | 0.1060.0900.0750.0940.100 |
| OverallF-score | 0.540 | 0.600 | 0.596 | 0.653 | 0.548 | 0.592 | 0.672 | | --- | --- | --- | --- | --- | --- | --- | --- | | TestingTimeRatio | 1.05 | 3.14 | − | 2.60 | 1.60 | | | | SL−<br>EL− | 0.316<br>0.325 | 0.366<br>0.376 | 0.378<br>0.382 | 0.418<br>0.443 | 0.320<br>0.342 | 0.356<br>0.367 | 0.445<br>0.432 |
0
| | L=1 | L=3 | L=5 | L=8 | | --- | --- | --- | --- | --- | | | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | | Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |
| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 | | --- | --- | --- | --- | --- | | DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 | | TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |
1
| | L=1 | L=3 | L=5 | L=8 | | --- | --- | --- | --- | --- | | | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | | Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |
| | L=1 | L=3 | L=5 | L=8 | | --- | --- | --- | --- | --- | | | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | | Noisy | 12.95/0.223/0.148 | 17.42/0.378/0.255 | 19.59/0.460/0.322 | 21.61/0.535/0.393 | | PPBit | 23.78/0.590/0.346 | 25.95/0.713/0.487 | 26.95/0.763/0.549 | 27.86/0.803/0.602 | | SAR-BM3D | 24.85/0.676/0.455 | 27.12/0.776/0.605 | 28.27/0.818/0.669 | 29.35/0.852/0.723 | | FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 | | TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |
0
| | L=1 | L=3 | L=5 | L=8 | | --- | --- | --- | --- | --- | | | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | | Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |
| SRAD | 24.82/0.686/0.465 | 25.42/0.738/0.489 | 26.92/0.790/0.570 | 28.25/0.819/0.639 | | --- | --- | --- | --- | --- | | DPAD | 24.78/0.681/0.473 | 25.48/0.735/0.499 | 27.00/0.789/0.577 | 28.29/0.818/0.643 | | TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |
1
| | L=1 | L=3 | L=5 | L=8 | | --- | --- | --- | --- | --- | | | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | PSNR/MSSIM/EC | | Γ-Map | 21.02/0.513/0.238 | 23.46/0.651/0.394 | 24.70/0.708/0.469 | 25.97/0.757/0.540 |
| FoE | 24.65/0.669/0.493 | 27.07/0.763/0.637 | 28.32/0.812/0.698 | 29.54/0.848/0.753 | | --- | --- | --- | --- | --- | | TRDMD7×7 | 24.95/0.678/0.479 | 27.28/0.775/0.630 | 28.53/0.819/0.700 | 29.70/0.852/0.754 |
0
| Numbers | 5 | 50 | 80 | | --- | --- | --- | --- | | Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 | | Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 | | Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |
| Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 | | --- | --- | --- | --- | | Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |
1
| Numbers | 5 | 50 | 80 | | --- | --- | --- | --- | | Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 | | Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 | | Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 |
| Numbers | 5 | 25 | | --- | --- | --- | | Conv5+spp-128 | 76.56±0.92 | 87.26±1.00 | | Conv5+spp-192 | 80.34±0.80 | 90.13±0.90 | | Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 | | Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 | | Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |
0
| Numbers | 5 | 50 | 80 | | --- | --- | --- | --- | | Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |
| Conv5+spp-192 | 70.27±1.96 | 89.77±0.79 | 88.81±0.94 | | --- | --- | --- | --- | | Conv5+spp-256 | 67.89±1.44 | 89.70±0.52 | 91.67±1.11 | | Conv5+spp+SV | 70.57±2.06 | 90.73±0.76 | 91.38±0.46 | | Conv5+spp+MKL | 75.33±1.86 | 95.72±0.50 | 96.38±0.92 |
1
| Numbers | 5 | 50 | 80 | | --- | --- | --- | --- | | Conv5+spp-128 | 63.96±2.52 | 87.98±0.50 | 88.81±0.94 |
| Conv5+spp-256 | 80.46±1.47 | 90.27±0.64 | | --- | --- | --- | | Conv5+spp+SV | 80.92±1.16 | 90.48±0.87 | | Conv5+spp+MKL | 85.22±1.22 | 95.07±0.79 |
0
| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
| Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
1
| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
| Index | 27 | 31 | 54 | 62 | 77 | 91 | 108 | 124 | 153 | 156 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | Index | 616 | | | | | | | | | | | SpectralComponent | γ | | | | | | | | | |
0
| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |
| SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | Index | 523 | 542 | 556 | 587 | 619 | 635 | 643 | 647 | 649 | 650 | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ |
1
| Index | 61 | 89 | 122 | 139 | 178 | 185 | 209 | 215 | 244 | 271 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | σ | σ | σ | σ | σ | σ | σ | σ | σ | σ | | Index | 278 | 325 | 356 | 370 | 395 | 418 | 430 | 433 | 461 | 488 |
| Index | 182 | 201 | 213 | 216 | 248 | 306 | 308 | 339 | 341 | 364 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | Index | 371 | 402 | 426 | 432 | 495 | 496 | 511 | 573 | 581 | 612 | | SpectralComponent | γ | γ | γ | γ | γ | γ | γ | γ | γ | γ | | Index | 616 | | | | | | | | | | | SpectralComponent | γ | | | | | | | | | |
0
| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking | | --- | --- | --- | | FromPoletoPole | 8.23 | 4.10 | | Mountains | 12.08 | 7.94 | | FreshWater | 12.36 | 8.11 | | Caves | 9.98 | 8.76 | | Deserts | 13.90 | 9.35 | | IceWorlds | 6.62 | 4.33 | | GreatPlains | 10.92 | 9.63 |
| Jungles | 12.28 | 7.43 | | --- | --- | --- | | ShallowSeas | 10.91 | 6.22 | | SeasonalForests | 9.47 | 4.82 | | OceanDeep | 10.73 | 5.75 | | Average | 10.68 | 6.95 |
1
| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking | | --- | --- | --- | | FromPoletoPole | 8.23 | 4.10 | | Mountains | 12.08 | 7.94 | | FreshWater | 12.36 | 8.11 | | Caves | 9.98 | 8.76 | | Deserts | 13.90 | 9.35 | | IceWorlds | 6.62 | 4.33 | | GreatPlains | 10.92 | 9.63 |
| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking | | --- | --- | --- | | FromPoletoPole | 8.23 | 4.10 | | Mountains | 12.08 | 7.94 | | FreshWater | 12.36 | 8.11 | | Caves | 9.98 | 8.76 | | Deserts | 13.90 | 9.35 | | IceWorlds | 6.62 | 4.33 | | GreatPlains | 10.92 | 9.63 | | Jungles | 12.28 | 7.43 | | ShallowSeas | 10.91 | 6.22 | | SeasonalForests | 9.47 | 4.82 | | OceanDeep | 10.73 | 5.75 | | Average | 10.68 | 6.95 |
0
| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking | | --- | --- | --- | | FromPoletoPole | 8.23 | 4.10 | | Mountains | 12.08 | 7.94 | | FreshWater | 12.36 | 8.11 | | Caves | 9.98 | 8.76 |
| Deserts | 13.90 | 9.35 | | --- | --- | --- | | IceWorlds | 6.62 | 4.33 | | GreatPlains | 10.92 | 9.63 | | Jungles | 12.28 | 7.43 | | ShallowSeas | 10.91 | 6.22 | | SeasonalForests | 9.47 | 4.82 | | OceanDeep | 10.73 | 5.75 | | Average | 10.68 | 6.95 |
1
| Episode | Ranking<br>CNN | Hypercolumn<br>Ranking | | --- | --- | --- | | FromPoletoPole | 8.23 | 4.10 | | Mountains | 12.08 | 7.94 | | FreshWater | 12.36 | 8.11 | | Caves | 9.98 | 8.76 |
| Deserts | 13.90 | 9.35 | | --- | --- | --- | | IceWorlds | 6.62 | 4.33 | | GreatPlains | 10.92 | 9.63 | | Jungles | 12.28 | 7.43 | | ShallowSeas | 10.91 | 6.22 | | SeasonalForests | 9.47 | 4.82 | | OceanDeep | 10.73 | 5.75 | | Average | 10.68 | 6.95 |
0
| | \|V\| | \|E\| | Avg.degree | \|L\| | \|R\| | | --- | --- | --- | --- | --- | --- | | DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 | | MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |
| YELP | 37,342 | 178,519 | 9.56 | 4 | 3 | | --- | --- | --- | --- | --- | --- | | GAME | 6,909 | 7,754 | 2.24 | 4 | 3 |
1
| | \|V\| | \|E\| | Avg.degree | \|L\| | \|R\| | | --- | --- | --- | --- | --- | --- | | DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 | | MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |
| V3 | V2 | V1 | | --- | --- | --- | | 54.5 | - | - | | 76.0 | - | - | | 74.2 | - | - | | 78.5 | 83.5 | 79.3 | | 92.6 | - | - | | 87.5 | 84.1 | 70.9 | | 90.7 | 87.5 | 74.0 | | 93.3 | 85.9 | 77.9 | | 93.8 | 86.3 | 79.7 | | 95.3 | 88.7 | 80.2 |
0
| | \|V\| | \|E\| | Avg.degree | \|L\| | \|R\| | | --- | --- | --- | --- | --- | --- | | DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 | | MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |
| YELP | 37,342 | 178,519 | 9.56 | 4 | 3 | | --- | --- | --- | --- | --- | --- | | GAME | 6,909 | 7,754 | 2.24 | 4 | 3 |
1
| | \|V\| | \|E\| | Avg.degree | \|L\| | \|R\| | | --- | --- | --- | --- | --- | --- | | DBLP | 15,649 | 51,377 | 6.57 | 4 | 4 | | MOVIE | 25,643 | 40,173 | 3.13 | 5 | 4 |
| 90.7 | 87.5 | 74.0 | | --- | --- | --- | | 93.3 | 85.9 | 77.9 | | 93.8 | 86.3 | 79.7 | | 95.3 | 88.7 | 80.2 |
0
| | DevTest | | | --- | --- | --- | | Model | AccF1AccF1 | Time | | TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min | | Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |
| Bi-Attention(300dSim.MRU)<br>†<br>Bi-Attention(300dMRU) | 44.145.542.943.1<br>48.654.846.853.3 | ≈25sec<br>≈2min | | --- | --- | --- | | Bi-Attention(200dHybridMRU-LSTM) | 50.559.949.459.5 | ≈7min |
1
| | DevTest | | | --- | --- | --- | | Model | AccF1AccF1 | Time | | TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min | | Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |
| Methods | COCO | | --- | --- | | B-1B-2B-3B-4MC | | | NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 | | LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 | | SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |
0
| | DevTest | | | --- | --- | --- | | Model | AccF1AccF1 | Time | | TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min | | Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |
| Bi-Attention(300dSim.MRU)<br>†<br>Bi-Attention(300dMRU) | 44.145.542.943.1<br>48.654.846.853.3 | ≈25sec<br>≈2min | | --- | --- | --- | | Bi-Attention(200dHybridMRU-LSTM) | 50.559.949.459.5 | ≈7min |
1
| | DevTest | | | --- | --- | --- | | Model | AccF1AccF1 | Time | | TF-IDFmax<br>ASR<br>AMANDA | 13.0N/A12.7N/A<br>43.924.241.322.8<br>48.657.746.856.6 | N/A<br>N/A<br>∗<br>≈8min | | Bi-Attention(NoEncoder)<br>†<br>Bi-Attention(150dBiLSTM)<br>†<br>Bi-Attention(300dLSTM) | 12.420.218.912.3<br>40.051.338.649.0<br>40.348.738.246.4 | ≈17sec<br>≈7min<br>≈6min |
| NIC<br>m-RNN<br>Hard-Attention<br>ATT<br>Att-CNN+LSTM | 0.6660.4510.3040.203−−<br>0.670.490.350.25−−<br>0.7180.5040.3570.2500.230−<br>0.7090.5370.4020.3040.243−<br>0.740.560.420.310.260.94 | | --- | --- | | LSTM-R<br>LSTM-T<br>LSTM-RT<br>LSTM-RT2 | 0.6980.5250.3900.2920.2380.889<br>0.7160.5460.4110.3120.2500.952<br>0.7240.5550.4190.3160.2520.970<br>0.7300.5680.4300.3220.2490.977 | | SCN-LSTM<br>SCN-LSTMEnsembleof5 | 0.7280.5660.4330.3300.2571.012<br>0.7410.5780.4440.3410.2611.041 |
0
| Algorithm | finalscore↑ | accuracy | Fscore1 | | --- | --- | --- | --- | | I2R-CCNU-NTU-2 | .729 | .822 | .64 | | JHU | .71 | .771 | .64 |
| I2R-CCNU-NTU-1 | .702 | .784 | .63 | | --- | --- | --- | --- | | I2R-CCNU-NTU-3 | .696 | .776 | .622 |
1
| Algorithm | finalscore↑ | accuracy | Fscore1 | | --- | --- | --- | --- | | I2R-CCNU-NTU-2 | .729 | .822 | .64 | | JHU | .71 | .771 | .64 |
| Algorithm | finalscore↑ | accuracy | Fscore1 | | --- | --- | --- | --- | | I2R-CCNU-NTU-2 | .729 | .822 | .641 | | JHU | .702 | .763 | .632 | | I2R-CCNU-NTU-1 | .699 | .782 | .626 | | I2R-CCNU-NTU-3 | .694 | .775 | .62 | | KSDA | .71 | .807 | .619 | | AlexNet | .515 | .763 | .266 |
0
| Algorithm | finalscore↑ | accuracy | Fscore1 | | --- | --- | --- | --- | | I2R-CCNU-NTU-2 | .729 | .822 | .64 |
| JHU | .71 | .771 | .64 | | --- | --- | --- | --- | | I2R-CCNU-NTU-1 | .702 | .784 | .63 | | I2R-CCNU-NTU-3 | .696 | .776 | .622 |
1
| Algorithm | finalscore↑ | accuracy | Fscore1 | | --- | --- | --- | --- | | I2R-CCNU-NTU-2 | .729 | .822 | .64 |
| I2R-CCNU-NTU-3 | .694 | .775 | .62 | | --- | --- | --- | --- | | KSDA | .71 | .807 | .619 | | AlexNet | .515 | .763 | .266 |
0
| 81.46<br>81.89<br>81.58<br>82.45 | | --- | | 79.70<br>80.27<br>80.91 |
| 81.15 | | --- | | 69.19<br>74.70<br>75.80 | | 79.65<br>81.38 |
1
| 81.46<br>81.89<br>81.58<br>82.45 | | --- | | 79.70<br>80.27<br>80.91 |
| 97.88 | 97.85 | | --- | --- | | 97.59 | 97.13 | | 94.51<br>92.60 | 94.46<br>92.57 | | 0.236 | 0.239 | | 84.6 | 84.2 |
0
| 81.46<br>81.89<br>81.58<br>82.45 | | --- | | 79.70<br>80.27<br>80.91 | | 81.15 |
| 69.19<br>74.70<br>75.80 | | --- | | 79.65<br>81.38 |
1
| 81.46<br>81.89<br>81.58<br>82.45 | | --- | | 79.70<br>80.27<br>80.91 | | 81.15 |
| 0.236 | 0.239 | | --- | --- | | 84.6 | 84.2 |
0
| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall | | --- | --- | --- | --- | --- | --- | | Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |
| BING | COCO<br>DARK | 1000<br>1000 | 0.6457<br>0.4483 | 0.1439<br>0.1392 | 0.0006<br>0.0004 | | --- | --- | --- | --- | --- | --- | | Adobe<br>Boxes | COCO<br>DARK | 1000<br>999 | 1.6753<br>1.1039 | 0.3735<br>0.3428 | 0.0017<br>0.0011 | | Adobe<br>BING | COCO<br>DARK | 1000<br>1000 | 1.6010<br>1.0209 | 0.3569<br>0.3170 | 0.0016<br>0.0010 |
1
| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall | | --- | --- | --- | --- | --- | --- | | Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |
| | CNN+RNN-coco | neural-storyteller | TermRetrieval | SemStyle-<br>romonly | | --- | --- | --- | --- | --- | | CNN+RNN-coco | - | - | - | - | | neural-storyteller | 1e-56* | - | - | - | | TermRetrieval | 4.1e-18* | 9.3e-14* | - | - | | SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - | | SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |
0
| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall | | --- | --- | --- | --- | --- | --- | | Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |
| BING | COCO<br>DARK | 1000<br>1000 | 0.6457<br>0.4483 | 0.1439<br>0.1392 | 0.0006<br>0.0004 | | --- | --- | --- | --- | --- | --- | | Adobe<br>Boxes | COCO<br>DARK | 1000<br>999 | 1.6753<br>1.1039 | 0.3735<br>0.3428 | 0.0017<br>0.0011 | | Adobe<br>BING | COCO<br>DARK | 1000<br>1000 | 1.6010<br>1.0209 | 0.3569<br>0.3170 | 0.0016<br>0.0010 |
1
| Methods | Dataset | Avg.Prop./im | Avg.Det./im | Det.Rate | Recall | | --- | --- | --- | --- | --- | --- | | Edge<br>Boxes | COCO<br>DARK | 998<br>987 | 1.9871<br>1.7050 | 0.4430<br>0.5295 | 0.0020<br>0.0017 |
| TermRetrieval | 4.1e-18* | 9.3e-14* | - | - | | --- | --- | --- | --- | --- | | SemStyle-romonly | 0.00032* | 2.3e-35* | 3.4e-07* | - | | SemStyle | 0.18 | 2.1e-48* | 1.7e-13* | 0.023 |
0
| Parameters | Values | | --- | --- | | Celllayout | Hexagonal,7cells,3sectorspercell | | BS-BSdistance | 2.8km | | FrequencyReuse | 1 | | p¯w | 49dBm | | PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w | | BER | 10 |
| TotalBandwidth | 10MHz | | --- | --- | | NoisePower | −169dBm/Hz | | MultipathTimeDelayProfile | ITU-RM.1225PedA | | Numberofchannel(FFTsize) | 64 | | LengthofIndividualMemory | M=10 |
1
| Parameters | Values | | --- | --- | | Celllayout | Hexagonal,7cells,3sectorspercell | | BS-BSdistance | 2.8km | | FrequencyReuse | 1 | | p¯w | 49dBm | | PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w | | BER | 10 |
| Parameters | Value | Description | | --- | --- | --- | | N | 1000 | Numberofvideocontents | | Ld | 30m | D2Ddistancethreshold | | Cd | 80 | CachesizeofD2Dtransmitusers | | Cf | 100∼500 | CachesizeofF-APs | | Bd | 300MHz | BandwidthofD2Dusers | | Bf | 100MHz | BandwidthofF-APs | | Pd | 13dBm | TransmitpowerofD2Dtransmituser | | Pf | 23dBm | TransmitpowerofF-AP | | λru | −5<br>6×10 | Intensityofcontentrequireusers | | λtu | −5<br>5×10 | IntensityofD2Dtransmitusers | | λf | −5<br>3×10 | IntensityofF-APs | | λg | −6<br>2×10 | Intensityofgateways | | α | 4 | Pathlossexponent |
0
| Parameters | Values | | --- | --- | | Celllayout | Hexagonal,7cells,3sectorspercell | | BS-BSdistance | 2.8km | | FrequencyReuse | 1 | | p¯w | 49dBm | | PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w | | BER | 10 |
| TotalBandwidth | 10MHz | | --- | --- | | NoisePower | −169dBm/Hz | | MultipathTimeDelayProfile | ITU-RM.1225PedA | | Numberofchannel(FFTsize) | 64 | | LengthofIndividualMemory | M=10 |
1
| Parameters | Values | | --- | --- | | Celllayout | Hexagonal,7cells,3sectorspercell | | BS-BSdistance | 2.8km | | FrequencyReuse | 1 | | p¯w | 49dBm | | PassLossModel(dB) | PL=128.1+36.7log10(d)i,wi,w | | BER | 10 |
| Bd | 300MHz | BandwidthofD2Dusers | | --- | --- | --- | | Bf | 100MHz | BandwidthofF-APs | | Pd | 13dBm | TransmitpowerofD2Dtransmituser | | Pf | 23dBm | TransmitpowerofF-AP | | λru | −5<br>6×10 | Intensityofcontentrequireusers | | λtu | −5<br>5×10 | IntensityofD2Dtransmitusers | | λf | −5<br>3×10 | IntensityofF-APs | | λg | −6<br>2×10 | Intensityofgateways | | α | 4 | Pathlossexponent |
0
| Dataset | Challenge | #Obj.class | Modality | | --- | --- | --- | --- | | LINEMOD | VP+C+TL | 15 | RGB-D | | Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D | | Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D |
| Bin-Picking(BIN-P) | VP+SC+SO+MI+BP | 2 | RGB-D | | --- | --- | --- | --- | | T-LESS | VP+C+TL+O+MI+SLD | 30 | RGB-D |
1
| Dataset | Challenge | #Obj.class | Modality | | --- | --- | --- | --- | | LINEMOD | VP+C+TL | 15 | RGB-D | | Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D | | Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D |
| TestInput | OurR-DML | B-DML | Supervisiontransfer | | --- | --- | --- | --- | | Total | 34.72 | 29.13 | 21.35 | | RGB+depth | 40.43 | 36.31 | 26.68 | | RGB(blank)+depth | 30.76 | 28.37 | 15.81 | | RGB+depth(blank) | 32.69 | 12.03 | 22.25 | | RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 | | RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 | | RGB(noise)+depth | 32.76 | 31.50 | 16.65 | | RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |
0
| Dataset | Challenge | #Obj.class | Modality | | --- | --- | --- | --- | | LINEMOD | VP+C+TL | 15 | RGB-D | | Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |
| Occlusion(OCC) | VP+C+TL+SO | 8 | RGB-D | | --- | --- | --- | --- | | Bin-Picking(BIN-P) | VP+SC+SO+MI+BP | 2 | RGB-D | | T-LESS | VP+C+TL+O+MI+SLD | 30 | RGB-D |
1
| Dataset | Challenge | #Obj.class | Modality | | --- | --- | --- | --- | | LINEMOD | VP+C+TL | 15 | RGB-D | | Multiple-Instance(MULT-I) | VP+C+TL+O+MI | 6 | RGB-D |
| RGB(blank)+depth | 30.76 | 28.37 | 15.81 | | --- | --- | --- | --- | | RGB+depth(blank) | 32.69 | 12.03 | 22.25 | | RGB(occlusion)+depth | 35.65 | 29.39 | 22.95 | | RGB+depth(occlusion) | 35.04 | 33.12 | 22.75 | | RGB(noise)+depth | 32.76 | 31.50 | 16.65 | | RGB(illumination)+depth | 35.67 | 33.19 | 22.40 |
0
| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt | | --- | --- | --- | | 10 | .002838.000603 | .002398.000710 | | 10 | .018034.003995 | .009058.001744 |
| 10 | .597764.242391 | .092602.015238 | | --- | --- | --- | | 10 | 246.241147.727 | 2.13928.493422 | | 10 | 13661.19129.92 | 31.03115.36648 | | Bestfitoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |
1
| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt | | --- | --- | --- | | 10 | .002838.000603 | .002398.000710 | | 10 | .018034.003995 | .009058.001744 |
| m | k | N | mmˆ | | --- | --- | --- | --- | | [-0.43290.32340.8415] | 12 | 100 | 0.9994 | | [-0.43290.32340.8415] | 12 | 1000 | 1.000 | | [-0.43290.32340.8415] | 12 | 2000 | 1.000 | | [-0.43290.32340.8415] | 4 | 1000 | 0.9998 | | [-0.416100.9093] | 8 | 100 | 0.9995 | | [-0.416100.9093] | 8 | 1000 | 0.9999 | | [-0.416100.9093] | 15 | 100 | 0.9997 | | [-0.416100.9093] | 15 | 1000 | 1.0000 | | [-0.41610.90930] | 8 | 100 | 0.9994 | | [-0.41610.90930] | 8 | 1000 | 0.9999 | | [-0.41610.90930] | 15 | 100 | 0.9999 | | [-0.41610.90930] | 15 | 1000 | 1.000 |
0
| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt | | --- | --- | --- | | 10 | .002838.000603 | .002398.000710 | | 10 | .018034.003995 | .009058.001744 | | 10 | .597764.242391 | .092602.015238 | | 10 | 246.241147.727 | 2.13928.493422 |
| 10 | 13661.19129.92 | 31.03115.36648 | | --- | --- | --- | | Bestfitoft=cn | c≈10,k≈2.025 | c≈2×10,k≈1.197 |
1
| n | γ=2.0<br>µσtt | γ=3.0<br>µσtt | | --- | --- | --- | | 10 | .002838.000603 | .002398.000710 | | 10 | .018034.003995 | .009058.001744 | | 10 | .597764.242391 | .092602.015238 | | 10 | 246.241147.727 | 2.13928.493422 |
| [-0.416100.9093] | 8 | 100 | 0.9995 | | --- | --- | --- | --- | | [-0.416100.9093] | 8 | 1000 | 0.9999 | | [-0.416100.9093] | 15 | 100 | 0.9997 | | [-0.416100.9093] | 15 | 1000 | 1.0000 | | [-0.41610.90930] | 8 | 100 | 0.9994 | | [-0.41610.90930] | 8 | 1000 | 0.9999 | | [-0.41610.90930] | 15 | 100 | 0.9999 | | [-0.41610.90930] | 15 | 1000 | 1.000 |
0
| | 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 |
1
| | Individualusersgroup | | --- | --- | | Totalnumberoftweets | 119,376 | | Totalnumberofuniqueaccounts | 80,537 |
| Category | Numberoftokens | | --- | --- | | Avg.tokens | 22.2 | | Avg.entokens | 2.1 | | Avg.hitokens | 16.1 | | Avg.resttokens | 4.0 |
0
| | 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 |
1
| | Individualusersgroup | | --- | --- | | Totalnumberoftweets | 119,376 | | Totalnumberofuniqueaccounts | 80,537 | | Totalnumberoftokens | 1,837,304 | | Averagenumberoftokenspertweet | 15.391 | | Totalnumberofuniquetokens | 103,089 | | Averagenumberofuniquetokenspertweet | 0.864 |
| Avg.entokens | 2.1 | | --- | --- | | Avg.hitokens | 16.1 | | Avg.resttokens | 4.0 |
0
| Dataset | InstancesAttributesClasses | | --- | --- | | artificial<br>audiology | 5109710<br>2266924 | | auto-mpg<br>autos | 39974<br>205257 | | balance-scale<br>balloons | 62643<br>7642 | | breast-cancer<br>bridges2 | 28692<br>108116 | | clean1<br>colic | 4761662<br>368222 | | credit-a<br>diabetes | 695152<br>76882 | | echocardiogram<br>flag | 13282<br>194276 | | german<br>glass | 1000242<br>21497 | | hayes-roth<br>heart-c | 13243<br>303135 | | heart-h<br>heart-statlog | 294135<br>270132 | | hepatitis<br>kr-vs-kp | 155192<br>3196362 | | led24<br>led7 | 32002410<br>3200710 | | lymph<br>machine | 148184<br>20978 | | sonar<br>vehicle | 208602<br>848184 |
| vowel<br>wave21 | 9901311<br>5000213 | | --- | --- | | wave40<br>zoo | 5000403<br>104177 |
1
| Dataset | InstancesAttributesClasses | | --- | --- | | artificial<br>audiology | 5109710<br>2266924 | | auto-mpg<br>autos | 39974<br>205257 | | balance-scale<br>balloons | 62643<br>7642 | | breast-cancer<br>bridges2 | 28692<br>108116 | | clean1<br>colic | 4761662<br>368222 | | credit-a<br>diabetes | 695152<br>76882 | | echocardiogram<br>flag | 13282<br>194276 | | german<br>glass | 1000242<br>21497 | | hayes-roth<br>heart-c | 13243<br>303135 | | heart-h<br>heart-statlog | 294135<br>270132 | | hepatitis<br>kr-vs-kp | 155192<br>3196362 | | led24<br>led7 | 32002410<br>3200710 | | lymph<br>machine | 148184<br>20978 | | sonar<br>vehicle | 208602<br>848184 |
| | LR | SVM | SLA | BBLR | BBLR | | --- | --- | --- | --- | --- | --- | | Breast | 22 | 21 | 23 | 22 | 21 | | Heart | 45 | 45 | 48 | 50 | 43 | | Liver | 109 | 110 | 114 | 105 | 105 | | Pima | 172 | 172 | 184 | 176 | 171 | | TotalL01 | 348 | 348 | 368 | 354 | 340 |
0
| Dataset | InstancesAttributesClasses | | --- | --- | | artificial<br>audiology | 5109710<br>2266924 | | auto-mpg<br>autos | 39974<br>205257 | | balance-scale<br>balloons | 62643<br>7642 | | breast-cancer<br>bridges2 | 28692<br>108116 | | clean1<br>colic | 4761662<br>368222 |
| credit-a<br>diabetes | 695152<br>76882 | | --- | --- | | echocardiogram<br>flag | 13282<br>194276 | | german<br>glass | 1000242<br>21497 | | hayes-roth<br>heart-c | 13243<br>303135 | | heart-h<br>heart-statlog | 294135<br>270132 | | hepatitis<br>kr-vs-kp | 155192<br>3196362 | | led24<br>led7 | 32002410<br>3200710 | | lymph<br>machine | 148184<br>20978 | | sonar<br>vehicle | 208602<br>848184 | | vowel<br>wave21 | 9901311<br>5000213 | | wave40<br>zoo | 5000403<br>104177 |
1
| Dataset | InstancesAttributesClasses | | --- | --- | | artificial<br>audiology | 5109710<br>2266924 | | auto-mpg<br>autos | 39974<br>205257 | | balance-scale<br>balloons | 62643<br>7642 | | breast-cancer<br>bridges2 | 28692<br>108116 | | clean1<br>colic | 4761662<br>368222 |
| Heart | 45 | 45 | 48 | 50 | 43 | | --- | --- | --- | --- | --- | --- | | Liver | 109 | 110 | 114 | 105 | 105 | | Pima | 172 | 172 | 184 | 176 | 171 | | TotalL01 | 348 | 348 | 368 | 354 | 340 |
0
| Model | DeepMath1 | DeepMath2 | Unionof1and2 | | --- | --- | --- | --- | | Auto | 578 | 581 | 674 | | *WaveNet640 | 644 | 612 | 767 |
| *WaveNet256 | 692 | 712 | 864 | | --- | --- | --- | --- | | WaveNet640 | 629 | 685 | 997 | | *CNN | 905 | 812 | 1,057 | | CNN | 839 | 935 | 1,101 | | Total(unique) | 1,451 | 1,458 | 1,712 |
1
| Model | DeepMath1 | DeepMath2 | Unionof1and2 | | --- | --- | --- | --- | | Auto | 578 | 581 | 674 | | *WaveNet640 | 644 | 612 | 767 |
| Model | WERSWB | WERCH | | | | --- | --- | --- | --- | --- | | CE | ST | CE | ST | | | CNN | 12.6 | 10.4 | 18.4 | 17.9 | | DNN | 11.7 | 10.3 | 18.5 | 17.0 | | RNN | 11.5 | 9.9 | 17.7 | 16.3 | | DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 | | RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 | | DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |
0
| Model | DeepMath1 | DeepMath2 | Unionof1and2 | | --- | --- | --- | --- | | Auto | 578 | 581 | 674 | | *WaveNet640 | 644 | 612 | 767 |
| *WaveNet256 | 692 | 712 | 864 | | --- | --- | --- | --- | | WaveNet640 | 629 | 685 | 997 | | *CNN | 905 | 812 | 1,057 | | CNN | 839 | 935 | 1,101 | | Total(unique) | 1,451 | 1,458 | 1,712 |
1
| Model | DeepMath1 | DeepMath2 | Unionof1and2 | | --- | --- | --- | --- | | Auto | 578 | 581 | 674 | | *WaveNet640 | 644 | 612 | 767 |
| DNN | 11.7 | 10.3 | 18.5 | 17.0 | | --- | --- | --- | --- | --- | | RNN | 11.5 | 9.9 | 17.7 | 16.3 | | DNN+CNN | 11.3 | 9.6 | 17.4 | 16.3 | | RNN+CNN | 11.2 | 9.4 | 17.0 | 16.1 | | DNN+RNN+CNN | 11.1 | 9.4 | 17.1 | 15.9 |
0
| Variable | Description | | --- | --- | | j | theidentifieroftheneighbor | | tj | theageoftheneighbor |
| aj | theattributevalueoftheneighbor | | --- | --- | | rj | therandomvalueoftheneighbor |
1
| Variable | Description | | --- | --- | | j | theidentifieroftheneighbor | | tj | theageoftheneighbor |
| Featurelabel | Description | | --- | --- | | c,c,c∧cijij | Thetwoconceptsandtheirconjunction | | w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction | | p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction | | depij | Alldependencyedgeswithtailinwandheadinwij | | dir | Binaryfeaturewhichistrueiffi<j | | r | Relationlabelanditsconjunctionwithallotherfeatures |
0
| Variable | Description | | --- | --- | | j | theidentifieroftheneighbor |
| tj | theageoftheneighbor | | --- | --- | | aj | theattributevalueoftheneighbor | | rj | therandomvalueoftheneighbor |
1
| Variable | Description | | --- | --- | | j | theidentifieroftheneighbor |
| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction | | --- | --- | | p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction | | depij | Alldependencyedgeswithtailinwandheadinwij | | dir | Binaryfeaturewhichistrueiffi<j | | r | Relationlabelanditsconjunctionwithallotherfeatures |
0
| | forward | backward | left | right | topleft | topright | bottomleft | | --- | --- | --- | --- | --- | --- | --- | --- | | 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 | | | | | 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 | | | |
| 2u | 0.161595 | -0.17814 | 0.153376 | -0.16767 | 0.162906 | 0.105993 | -0.0211192 | | --- | --- | --- | --- | --- | --- | --- | --- | | 2s | -0.0310265 | -0.0803484 | 0.0474505 | -0.00146299 | 0.0442916 | 0.0874981 | 0.00668849 | | 3u | 0.362801 | -0.2995 | 0.245916 | -0.178778 | 0.386421 | 0.0148849 | -0.00335653 | | 3s | -0.265834 | 0.146516 | 0.379665 | -0.272437 | 0.138805 | -0.2683 | 0.212331 | | 4u | 0.301472 | -0.281474 | 0.377787 | -0.320403 | 0.410212 | -0.119599 | 0.136309 | | 4s | -0.104719 | 0.0930068 | 0.327783 | -0.229091 | 0.175432 | -0.161819 | 0.323862 | | 5u | 0.360293 | -0.311692 | -0.253715 | 0.260426 | 0.0863029 | 0.495134 | -0.38137 | | 5s | -0.212823 | 0.0414435 | 0.0908994 | -0.124174 | 0.00414109 | -0.107462 | 0.122018 | | 6u | -0.0416432 | 0.0570847 | 0.210028 | -0.104113 | 0.0363181 | -0.0672399 | 0.0704143 | | 6s | -0.157148 | 0.178879 | 0.0880393 | -0.0718817 | -0.102579 | -0.298918 | 0.307328 |
1
| | forward | backward | left | right | topleft | topright | bottomleft | | --- | --- | --- | --- | --- | --- | --- | --- | | 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 | | | | | 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 | | | |
| N | fnorm1 | f | ftwo | fone | | --- | --- | --- | --- | --- | | 3 | 0.8275 | 0.8199 | 0.5808 | 0.4444 | | 4 | 0.8235 | 0.8139 | 0.5541 | 0.4219 | | 5 | 0.8214 | 0.8104 | 0.5391 | 0.4096 | | 10 | 0.8175 | 0.8038 | 0.5116 | 0.3874 | | 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 | | 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |
0
| | forward | backward | left | right | topleft | topright | bottomleft | | --- | --- | --- | --- | --- | --- | --- | --- | | 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 | | | | | 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 | | | |
| 2u | 0.161595 | -0.17814 | 0.153376 | -0.16767 | 0.162906 | 0.105993 | -0.0211192 | | --- | --- | --- | --- | --- | --- | --- | --- | | 2s | -0.0310265 | -0.0803484 | 0.0474505 | -0.00146299 | 0.0442916 | 0.0874981 | 0.00668849 | | 3u | 0.362801 | -0.2995 | 0.245916 | -0.178778 | 0.386421 | 0.0148849 | -0.00335653 | | 3s | -0.265834 | 0.146516 | 0.379665 | -0.272437 | 0.138805 | -0.2683 | 0.212331 | | 4u | 0.301472 | -0.281474 | 0.377787 | -0.320403 | 0.410212 | -0.119599 | 0.136309 | | 4s | -0.104719 | 0.0930068 | 0.327783 | -0.229091 | 0.175432 | -0.161819 | 0.323862 | | 5u | 0.360293 | -0.311692 | -0.253715 | 0.260426 | 0.0863029 | 0.495134 | -0.38137 | | 5s | -0.212823 | 0.0414435 | 0.0908994 | -0.124174 | 0.00414109 | -0.107462 | 0.122018 | | 6u | -0.0416432 | 0.0570847 | 0.210028 | -0.104113 | 0.0363181 | -0.0672399 | 0.0704143 | | 6s | -0.157148 | 0.178879 | 0.0880393 | -0.0718817 | -0.102579 | -0.298918 | 0.307328 |
1
| | forward | backward | left | right | topleft | topright | bottomleft | | --- | --- | --- | --- | --- | --- | --- | --- | | 1u | 0.411741 | 0.257564 | 0.0691989 | -0.210216 | | | | | 1s | 0.200355 | 0.486723 | 0.129839 | 0.436533 | | | |
| 15 | 0.8163 | 0.8017 | 0.5030 | 0.3806 | | --- | --- | --- | --- | --- | | 20 | 0.8157 | 0.8007 | 0.4988 | 0.3774 |
0
| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite | | --- | --- | --- | --- | | 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA | | --- | --- | --- | --- | | 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA | | 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 | | 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA | | 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA | | 564 | 118 | 16 | TLSRSAWITHRC4128SHA | | 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA | | 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 | | 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA | | 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA | | 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA | | 891 | 37 | 155 | TLSRSAWITHRC4128MD5 | | 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 | | 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA | | 337 | 51 | 0 | TLSRSAWITHRC4128SHA | | 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 | | 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |
1
| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite | | --- | --- | --- | --- | | 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA |
| Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 | | DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 | | DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 | | DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 | | AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |
0
| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite | | --- | --- | --- | --- | | 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA | | 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |
| 103 | 10 | 89 | TLSRSAWITHAES128CBCSHA | | --- | --- | --- | --- | | 372 | 155 | 3 | TLSECDHERSAWITHAES128GCMSHA256 | | 1152 | 225 | 52 | TLSRSAWITH3DESEDECBCSHA | | 275 | 128 | 0 | TLSRSAWITH3DESEDECBCSHA | | 564 | 118 | 16 | TLSRSAWITHRC4128SHA | | 1,200 | 323 | 4 | TLSRSAWITH3DESEDECBCSHA | | 218 | 90 | 0 | TLSECDHERSAWITHAES128GCMSHA256 | | 2,618 | 700 | 22 | TLSECDHERSAWITHAES256CBCSHA | | 205 | 26 | 0 | TLSRSAWITH3DESEDECBCSHA | | 404 | 138 | 8 | TLSRSAWITH3DESEDECBCSHA | | 891 | 37 | 155 | TLSRSAWITHRC4128MD5 | | 12,847 | 1 | 0 | TLSDHERSAWITHAES256CBCSHA256 | | 511 | 120 | 0 | TLSRSAWITH3DESEDECBCSHA | | 337 | 51 | 0 | TLSRSAWITHRC4128SHA | | 2,902 | 269 | 507 | TLSRSAWITHRC4128MD5 | | 733 | 145 | 14 | TLSRSAWITH3DESEDECBCSHA |
1
| Number<br>ofFlows | Unique<br>ServerIPs | Numberof<br>SSCerts | Selected<br>Ciphersuite | | --- | --- | --- | --- | | 332 | 12 | 0 | TLSRSAWITH3DESEDECBCSHA | | 129 | 38 | 0 | TLSRSAWITH3DESEDECBCSHA |
| DES<br>DES | HW<br>HW | 3<br>3 | 164<br>164 | 12<br>27 | 2<br>20<br>2 | 0.96<br>0.99 | | --- | --- | --- | --- | --- | --- | --- | | DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 | | AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 |
0