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Models/CFSM

CFSM

Reported on 8 benchmarks across 2 tasks · 1 paper

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· 2018-12-06
27.3
best: 74.8 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Domain AdaptationonMarket to Duke
rank-1· 2018-12-06
49.8
best: 85 (CCTSE)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Domain AdaptationonDuke to Market
mAP· 2018-12-06
28.3
best: 84.4 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Domain AdaptationonDuke to Market
rank-1· 2018-12-06
61.2
best: 93.6 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605

Other4 results

Unsupervised Domain AdaptationonMarket to Duke
mAP· 2018-12-06
27.3
best: 74.8 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Unsupervised Domain AdaptationonMarket to Duke
rank-1· 2018-12-06
49.8
best: 85 (CCTSE)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Unsupervised Domain AdaptationonDuke to Market
mAP· 2018-12-06
28.3
best: 84.4 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605
Unsupervised Domain AdaptationonDuke to Market
rank-1· 2018-12-06
61.2
best: 93.6 (CORE-ReID)
Disjoint Label Space Transfer Learning with Common Factorised Space arXiv:1812.02605