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Models/LF2

LF2

Reported on 8 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

Domain AdaptationonMarket to Duke
mAP· 2022-05-19
73.5
best: 74.8 (CORE-ReID)
SOTA
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Domain AdaptationonMarket to Duke
rank-1· 2022-05-19
83.7
best: 85 (CCTSE)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Domain AdaptationonDuke to Market
mAP· 2022-05-19
83.2
best: 84.4 (CORE-ReID)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Domain AdaptationonDuke to Market
rank-1· 2022-05-19
92.8
best: 93.6 (CORE-ReID)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495

Other4 results

Unsupervised Domain AdaptationonMarket to Duke
mAP· 2022-05-19
73.5
best: 74.8 (CORE-ReID)
SOTA
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Unsupervised Domain AdaptationonMarket to Duke
rank-1· 2022-05-19
83.7
best: 85 (CCTSE)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Unsupervised Domain AdaptationonDuke to Market
mAP· 2022-05-19
83.2
best: 84.4 (CORE-ReID)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495
Unsupervised Domain AdaptationonDuke to Market
rank-1· 2022-05-19
92.8
best: 93.6 (CORE-ReID)
Learning Feature Fusion for Unsupervised Domain Adaptive Person Re-identification arXiv:2205.09495