Person Re-Identification on LTCC
78.1Rank-1 AccCSSC
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CSSCModality=RGB, Extra ground-truth clothing labels=false2024.05 | 78.1 | 40.2 | |
| CCFAModality=RGB, Extra ground-truth clothing labels=true, Multiple training stages=true2024.05 | 76.5 | 42.6 | |
| DCR-ReIDModality=RGB, Extra ground-truth clothing labels=true2024.05 | 76.3 | 41.1 | |
| AIMModality=RGB, Extra ground-truth clothing labels=true2024.05 | 75.8 | 42.5 | |
| UCADModality=RGB+sil., Extra ground-truth clothing labels=true2024.05 | 74.4 | 45.3 | |
| CALModality=RGB+sil.+sketch, Extra ground-truth clothing labels=true2024.05 | 74.2 | 40.8 | |
| ACIDModality=RGB, Extra ground-truth clothing labels=false2024.05 | 73.2 | 35.4 | |
| GI-ReIDModality=RGB+sil., Extra ground-truth clothing labels=false, Multiple training stages=true2024.05 | 73.2 | 35.3 | |
| TransReIDModality=RGB, Extra ground-truth clothing labels=false2024.05 | 70.4 | 37 | |
| PCBModality=RGB, Extra ground-truth clothing labels=false2024.05 | 65.1 | 30.6 | |
| RCSANetModality=RGB, Extra ground-truth clothing labels=false, Multiple training stages=true2024.05 | 65.1 | 30.6 | |
| IANetModality=RGB, Extra ground-truth clothing labels=false2024.05 | 63.7 | 31 | |
| FSAMModality=RGB+pose+sil., Extra ground-truth clothing labels=false2024.05 | 63.2 | 29.4 | |
| HA-CNNModality=RGB, Extra ground-truth clothing labels=false2024.05 | 60.2 | 26.7 | |
| CAL+3DInvarReIDBackbone=-2023.08 | 40.9 | 18.9 | |
| CALBackbone=ResNet-502023.08 | 40.1 | 18 | |
| CLIP-ReID (ViT-B)Method Category=Tr-ReID, Backbone=ViT-B, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 38.52 | 17.24 | |
| FSAMBackbone=ResNet-502023.08 | 38.5 | 16.2 | |
| 3DInvarReIDBackbone=ResNet-502023.08 | 37.8 | 16.7 | |
| 3DSLBackbone=ResNet-50×22023.08 | 31.2 | 14.8 | |
| CALMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 29.59 | 12.03 | |
| AIMMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 28.57 | 12.3 | |
| Uni-ATMethod Category=AT-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 28.32 | 15.66 | |
| CLIP-ReID (R50)Method Category=Tr-ReID, Backbone=ResNet-50, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 28.06 | 11.22 | |
| CAJMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 26.53 | 10.75 | |
| BoTMethod Category=Tr-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 26.28 | 8.11 | |
| CIFTMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 26.28 | 10.7 | |
| DEENMethod Category=CM-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 25.51 | 10.27 | |
| TransReIDMethod Category=Tr-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 24.49 | 11.25 | |
| CCILMethod Category=CC-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 24.49 | 10.87 | |
| PCBBackbone=ResNet-502023.08 | 23.5 | 10 | |
| BaselineMethod Category=AT-ReID, Training Dataset=AT-USTC, Evaluation Protocol=Cross-dataset2025.09 | 22.19 | 12.75 | |
| HACNNBackbone=*2023.08 | 21.6 | 9.3 | |
| 3DInvarReID#Backbone=ResNet-50, trained_on_dataset=Celeb-reID, initialization=CAL model2023.08 | 5.6 | 2.8 | |
| 3DInvarReIDBackbone=ResNet-50, trained_on_dataset=Celeb-reID2023.08 | 5.1 | 2.8 | |
| CALBackbone=ResNet-50, trained_on_dataset=Celeb-reID2023.08 | 3.8 | 2.8 |