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Models/SSG

SSG

Reported on 28 benchmarks across 2 tasks · 1 paper · 24 SOTA

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

Methodology14 results

Domain AdaptationonDuke to MSMT
mAP· 2018-11-26
13.3
best: 45.2 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to MSMT
rank-1· 2018-11-26
32.2
best: 72.2 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to MSMT
rank-10· 2018-11-26
51.2
best: 86.3 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to MSMT
mAP· 2018-11-26
13.2
best: 44.1 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to MSMT
rank-1· 2018-11-26
31.6
best: 71.3 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to MSMT
rank-10· 2018-11-26
49.6
best: 86 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to Duke
mAP· 2018-11-26
53.4
best: 74.8 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to Duke
rank-1· 2018-11-26
73
best: 85 (CCTSE)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to Duke
rank-5· 2018-11-26
80.6
best: 92.4 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to Market
mAP· 2018-11-26
58.3
best: 84.4 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to Market
rank-1· 2018-11-26
80
best: 93.6 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to Market
rank-5· 2018-11-26
90
best: 97.7 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonMarket to Duke
rank-10· 2018-11-26
83.2
best: 94.4 (CORE-ReID)
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Domain AdaptationonDuke to Market
rank-10· 2018-11-26
92.4
best: 98.7 (CORE-ReID)
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144

Other14 results

Unsupervised Domain AdaptationonDuke to MSMT
mAP· 2018-11-26
13.3
best: 45.2 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to MSMT
rank-1· 2018-11-26
32.2
best: 72.2 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to MSMT
rank-10· 2018-11-26
51.2
best: 86.3 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to MSMT
mAP· 2018-11-26
13.2
best: 44.1 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to MSMT
rank-1· 2018-11-26
31.6
best: 71.3 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to MSMT
rank-10· 2018-11-26
49.6
best: 86 (CORE-ReID V2)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to Duke
mAP· 2018-11-26
53.4
best: 74.8 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to Duke
rank-1· 2018-11-26
73
best: 85 (CCTSE)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to Duke
rank-5· 2018-11-26
80.6
best: 92.4 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to Market
mAP· 2018-11-26
58.3
best: 84.4 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to Market
rank-1· 2018-11-26
80
best: 93.6 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to Market
rank-5· 2018-11-26
90
best: 97.7 (CORE-ReID)
SOTA
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonMarket to Duke
rank-10· 2018-11-26
83.2
best: 94.4 (CORE-ReID)
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144
Unsupervised Domain AdaptationonDuke to Market
rank-10· 2018-11-26
92.4
best: 98.7 (CORE-ReID)
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification arXiv:1811.10144