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Models/DG-Net++

DG-Net++

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 MSMT
mAP· 2020-07-20
22.1
best: 44.1 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Domain AdaptationonMarket to MSMT
rank-1· 2020-07-20
48.4
best: 71.3 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Domain AdaptationonMarket to MSMT
rank-10· 2020-07-20
66.1
best: 86 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Domain AdaptationonMarket to MSMT
rank-5· 2020-07-20
60.9
best: 82.4 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315

Other4 results

Unsupervised Domain AdaptationonMarket to MSMT
mAP· 2020-07-20
22.1
best: 44.1 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Unsupervised Domain AdaptationonMarket to MSMT
rank-1· 2020-07-20
48.4
best: 71.3 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Unsupervised Domain AdaptationonMarket to MSMT
rank-10· 2020-07-20
66.1
best: 86 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315
Unsupervised Domain AdaptationonMarket to MSMT
rank-5· 2020-07-20
60.9
best: 82.4 (CORE-ReID V2)
Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification arXiv:2007.10315