Person Re-identification on Market-1501 (train)
65.7Rank-1 AccPATN
Evaluation results
| Method | Links | |
|---|---|---|
| PATNBackbone=ResNet-50, Aug. ratio=32019.04 | 65.7 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Aug. ratio=32019.04 | 65.4 | |
| BaselineBackbone=ResNet-50, Portion p=12019.04 | 65.3 | |
| VUNetBackbone=ResNet-50, Portion p=12019.04 | 65.3 | |
| DeformBackbone=ResNet-50, Portion p=12019.04 | 65.3 | |
| PATNBackbone=ResNet-50, Portion p=12019.04 | 65.3 | |
| PATNBackbone=ResNet-50, Aug. ratio=22019.04 | 65.3 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=12019.04 | 65.3 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Aug. ratio=22019.04 | 65.1 | |
| PATNBackbone=ResNet-50, Portion p=0.92019.04 | 64.8 | |
| DeformBackbone=ResNet-50, Aug. ratio=32019.04 | 64.6 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.92019.04 | 64.5 | |
| DeformBackbone=ResNet-50, Aug. ratio=22019.04 | 64.2 | |
| VUNetBackbone=ResNet-50, Aug. ratio=32019.04 | 64.1 | |
| VUNetBackbone=ResNet-50, Aug. ratio=22019.04 | 63.9 | |
| BaselineBackbone=ResNet-50, Portion p=0.92019.04 | 63.8 | |
| DeformBackbone=ResNet-50, Portion p=0.92019.04 | 63.5 | |
| PATNBackbone=ResNet-50, Portion p=0.82019.04 | 63.3 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.82019.04 | 63.1 | |
| VUNetBackbone=ResNet-50, Portion p=0.92019.04 | 62.9 | |
| BaselineBackbone=ResNet-50, Portion p=0.82019.04 | 62.7 | |
| DeformBackbone=ResNet-50, Portion p=0.82019.04 | 62.2 | |
| PATNBackbone=ResNet-50, Portion p=0.72019.04 | 62.1 | |
| VUNetBackbone=ResNet-50, Portion p=0.82019.04 | 61.3 | |
| BaselineBackbone=ResNet-50, Portion p=0.72019.04 | 61.2 | |
| PATNBackbone=ResNet-50, Portion p=0.62019.04 | 60.9 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.72019.04 | 60.7 | |
| DeformBackbone=ResNet-50, Portion p=0.72019.04 | 60.5 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.62019.04 | 60.4 | |
| PATNBackbone=ResNet-50, Portion p=0.52019.04 | 60.3 | |
| VUNetBackbone=ResNet-50, Portion p=0.72019.04 | 59.4 | |
| DeformBackbone=ResNet-50, Portion p=0.62019.04 | 59.4 | |
| BaselineBackbone=ResNet-50, Portion p=0.62019.04 | 58.8 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.52019.04 | 58.8 | |
| VUNetBackbone=ResNet-50, Portion p=0.62019.04 | 58.4 | |
| DeformBackbone=ResNet-50, Portion p=0.52019.04 | 57.6 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.42019.04 | 57.3 | |
| PATNBackbone=Inception-v2, Aug. ratio=32019.04 | 57.1 | |
| PATNBackbone=Inception-v2, Aug. ratio=22019.04 | 56.6 | |
| VUNetBackbone=ResNet-50, Portion p=0.52019.04 | 56.6 | |
| PATNBackbone=ResNet-50, Portion p=0.42019.04 | 56.6 | |
| PATNBackbone=ResNet-50, Portion p=0.32019.04 | 56.5 | |
| BaselineBackbone=ResNet-50, Portion p=0.52019.04 | 56.2 | |
| DeformBackbone=ResNet-50, Portion p=0.42019.04 | 56.1 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.32019.04 | 56 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.22019.04 | 55.9 | |
| DeformBackbone=ResNet-50, Portion p=0.32019.04 | 55.4 | |
| VUNetBackbone=ResNet-50, Portion p=0.42019.04 | 54.5 | |
| PATNBackbone=ResNet-50, Portion p=0.22019.04 | 54.5 | |
| DeformBackbone=ResNet-50, Portion p=0.22019.04 | 53.9 | |
| VUNetBackbone=ResNet-50, Portion p=0.32019.04 | 53.7 | |
| PATNBackbone=ResNet-50, Target Pose Selection=Random, Portion p=0.12019.04 | 53.3 | |
| BaselineBackbone=Inception-v2, Portion p=12019.04 | 52.7 | |
| PATNBackbone=Inception-v2, Portion p=12019.04 | 52.7 | |
| PATNBackbone=ResNet-50, Portion p=0.12019.04 | 52.6 | |
| DeformBackbone=ResNet-50, Portion p=0.12019.04 | 51.9 | |
| VUNetBackbone=ResNet-50, Portion p=0.22019.04 | 51.7 | |
| PATNBackbone=Inception-v2, Portion p=0.92019.04 | 51.6 | |
| PATNBackbone=Inception-v2, Portion p=0.82019.04 | 50.7 | |
| BaselineBackbone=ResNet-50, Portion p=0.42019.04 | 50.3 | |
| VUNetBackbone=ResNet-50, Portion p=0.12019.04 | 49.8 | |
| BaselineBackbone=Inception-v2, Portion p=0.92019.04 | 49.5 | |
| PATNBackbone=Inception-v2, Portion p=0.72019.04 | 49.1 | |
| BaselineBackbone=Inception-v2, Portion p=0.82019.04 | 49 | |
| PATNBackbone=Inception-v2, Portion p=0.62019.04 | 48.5 | |
| PATNBackbone=Inception-v2, Portion p=0.52019.04 | 48 | |
| PATNBackbone=Inception-v2, Portion p=0.42019.04 | 46.7 | |
| BaselineBackbone=Inception-v2, Portion p=0.72019.04 | 46.5 | |
| PATNBackbone=Inception-v2, Portion p=0.32019.04 | 45.7 | |
| PATNBackbone=Inception-v2, Portion p=0.22019.04 | 43.6 | |
| PATNBackbone=Inception-v2, Portion p=0.12019.04 | 42.3 | |
| BaselineBackbone=Inception-v2, Portion p=0.62019.04 | 42.2 | |
| BaselineBackbone=ResNet-50, Portion p=0.32019.04 | 41.5 | |
| BaselineBackbone=Inception-v2, Portion p=0.52019.04 | 39.2 | |
| BaselineBackbone=Inception-v2, Portion p=0.42019.04 | 33.5 | |
| BaselineBackbone=ResNet-50, Portion p=0.22019.04 | 27.6 | |
| BaselineBackbone=Inception-v2, Portion p=0.32019.04 | 26 | |
| BaselineBackbone=Inception-v2, Portion p=0.22019.04 | 16.6 | |
| BaselineBackbone=ResNet-50, Portion p=0.12019.04 | 9.2 | |
| BaselineBackbone=Inception-v2, Portion p=0.12019.04 | 5.7 |