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Models/DLCE

DLCE

Reported on 10 benchmarks across 1 task · 1 paper · 10 SOTA

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

Computer Vision10 results

Person Re-IdentificationonMSMT17
Rank-1· 2016-11-17
60.48
best: 91.7 (SOLIDER (with re-ranking))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonMSMT17
mAP· 2016-11-17
31.58
best: 86.7 (CLIP-ReID (with re-ranking))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonMarket-1501
Rank-1· 2016-11-17
79.51
best: 98 (st-ReID(RE, RK))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonMarket-1501
mAP· 2016-11-17
59.87
best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonMarket-1501+500k
MAP· 2016-11-17
45.24
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonMarket-1501+500k
Rank-1· 2016-11-17
68.26
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2016-11-17
68.9
best: 95.6 (CTL Model (ResNet50, 256x128))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonDukeMTMC-reID
mAP· 2016-11-17
49.3
best: 97.1 (DenseIL)
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonCUHK03
MAP· 2016-11-17
86.4
best: 94.3 (Proposed SGGNN)
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666
Person Re-IdentificationonCUHK03
Rank-1· 2016-11-17
83.4
best: 97.8 (AlignedReID (RK))
SOTA
A Discriminatively Learned CNN Embedding for Person Re-identification arXiv:1611.05666