Person Re-identification on Celeb-reID (test)
65.5Rank-1ReIDCaps + 3DInvarReID#
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ReIDCaps + 3DInvarReID#Backbone=-2023.08 | 65.5 | — | 18.4 | |
| FIRe²Modality=RGB2023.08 | 64 | 78.8 | 18.2 | |
| ReIDCapsBackbone=DenseNet-121×62023.08 | 63 | — | 15.8 | |
| 3DInvarReID#Backbone=ResNet-50, weights initialization=CAL model2023.08 | 61.2 | — | 15.2 | |
| CALBackbone=ResNet-502023.08 | 59.2 | — | 13.7 | |
| CAMCModality=RGB+pose2023.08 | 57.5 | 71.5 | 12.3 | |
| Baseline w/ Tri.Modality=RGB2023.08 | 56.9 | 70.3 | 11.6 | |
| SirNet2022.09 | 56 | 70.3 | 14.2 | |
| SirNetModality=RGB+gray, Backbone=DenseNet-1212023.08 | 56 | 70.3 | 14.2 | |
| RCSANet2022.09 | 55.6 | — | 11.9 | |
| RCSANetSupervision=Supervised Method(LT-ReID)2023.05 | 55.6 | — | 11.9 | |
| RCSANetModality=RGB, Backbone=DenseNet-1212023.08 | 55.6 | — | 11.9 | |
| RCSAnetBackbone=DenseNet-121×22023.08 | 55.6 | — | 11.9 | |
| 3DInvarReIDBackbone=ResNet-502023.08 | 55.2 | — | 11.8 | |
| IS-GANKLModality=RGB2023.08 | 54.5 | — | 12.8 | |
| LaST2022.09 | 54.4 | — | 11.8 | |
| BaselineModality=RGB2023.08 | 54.3 | 67.4 | 10.5 | |
| AFD-Net2022.09 | 52.1 | 66.1 | 10.6 | |
| AFD-NetModality=RGB+gray2023.08 | 52.1 | 66.1 | 10.6 | |
| ReIDCaps2022.09 | 51.2 | 65.4 | 9.8 | |
| Re-IDCapsSupervision=Supervised Method(LT-ReID)2023.05 | 51.2 | — | 9.8 | |
| ReIDCapsModality=RGB2023.08 | 51.2 | 65.4 | 9.8 | |
| ReIDCaps-Backbone=DenseNet-1212023.08 | 51.2 | — | 9.8 | |
| CESD2022.09 | 50.9 | 66.3 | 9.8 | |
| CESDModality=RGB+pose2023.08 | 50.9 | 66.3 | 9.8 | |
| RCSANetTraining dataset=Celeb-reID-light2022.09 | 50.4 | — | 11.1 | |
| DG-NetSupervision=Supervised Method(LT-ReID)2023.05 | 50.1 | — | 10.6 | |
| DG-NetBackbone=ResNet-502023.08 | 50.1 | — | 10.6 | |
| MGN2022.09 | 49 | 64.9 | 10.8 | |
| MGNSupervision=Supervised Method(LT-ReID)2023.05 | 49 | — | 10.8 | |
| MGNModality=RGB2023.08 | 49 | 64.9 | 10.8 | |
| MGNBackbone=ResNet-502023.08 | 49 | — | 10.8 | |
| HACNN2022.09 | 47.6 | 63.3 | 9.5 | |
| HACNNSupervision=Supervised Method(LT-ReID)2023.05 | 47.6 | — | 9.5 | |
| HACNNBackbone=*2023.08 | 47.6 | — | 9.5 | |
| SirNetTraining dataset=Celeb-reID-light2022.09 | 47.3 | 63.5 | 11.9 | |
| SiCLSupervision=Unsupervised Method2023.05 | 45.4 | — | 5.6 | |
| LaSTTraining dataset=Celeb-reID-light2022.09 | 43.7 | 57 | 6.3 | |
| ReIDCapsTraining dataset=Celeb-reID-light2022.09 | 43.4 | 56.9 | 6.9 | |
| ResNet-Mid2022.09 | 43.3 | 54.6 | 5.8 | |
| IDE2022.09 | 42.9 | 56.4 | 5.9 | |
| CACLSupervision=Unsupervised Method2023.05 | 42.3 | — | 5.1 | |
| MLFN2022.09 | 41.4 | 54.7 | 6 | |
| MLFNSupervision=Supervised Method(LT-ReID)2023.05 | 41.4 | — | 6 | |
| MLFNBackbone=*2023.08 | 41.4 | — | 6 | |
| PPLRSupervision=Unsupervised Method2023.05 | 41.3 | — | 4.8 | |
| C3ABSupervision=Unsupervised Method2023.05 | 41 | — | 4.8 | |
| ICESupervision=Unsupervised Method2023.05 | 40.7 | — | 4.9 | |
| SpCLSupervision=Unsupervised Method2023.05 | 39.6 | — | 4.6 | |
| PCB2022.09 | 37.1 | 57 | 8.2 | |
| PCBSupervision=Supervised Method(LT-ReID)2023.05 | 37.1 | — | 8.2 | |
| PCBModality=RGB2023.08 | 37.1 | 57 | 8.2 | |
| PCBBackbone=ResNet-502023.08 | 37.1 | — | 8.2 | |
| TSSupervision=Supervised Method(ST-ReID)2023.05 | 36.3 | — | 7.8 | |
| Two-StreamBackbone=ResNet-502023.08 | 36.3 | — | 7.8 | |
| CCSupervision=Unsupervised Method2023.05 | 32.8 | — | 3.4 | |
| PASupervision=Supervised Method(LT-ReID)2023.05 | 19.4 | — | 6.4 | |
| Part-BilinearModality=RGB2023.08 | 19.4 | 40.6 | 6.4 | |
| Part-AlignedBackbone=GoogLeNet×22023.08 | 19.4 | — | 6.4 |