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Models/PUL

PUL

Reported on 32 benchmarks across 3 tasks · 1 paper · 29 SOTA

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

Methodology12 results

Domain AdaptationonVeri-776 to VehicleID Large
R-1· 2017-05-30
30.9
best: 48.62 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Large
R-5· 2017-05-30
47.18
best: 68.3 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Large
mAP· 2017-05-30
34.71
best: 57.99 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Small
mAP· 2017-05-30
43.9
best: 67.04 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Small
R-1· 2017-05-30
40.03
best: 58.32 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Small
R-5· 2017-05-30
56.03
best: 76.51 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVehicleID to VeRi-776
Rank-1· 2017-05-30
55.24
best: 80.4 (SPCL)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVehicleID to VeRi-776
Rank-5· 2017-05-30
67.34
best: 89.05 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVehicleID to VeRi-776
mAP· 2017-05-30
17.06
best: 49.5 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Medium
R-1· 2017-05-30
33.83
best: 53.49 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Medium
R-5· 2017-05-30
49.72
best: 74.36 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Domain AdaptationonVeri-776 to VehicleID Medium
mAP· 2017-05-30
37.68
best: 63.02 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444

Other12 results

Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
R-1· 2017-05-30
30.9
best: 48.62 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
R-5· 2017-05-30
47.18
best: 68.3 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Large
mAP· 2017-05-30
34.71
best: 57.99 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Small
mAP· 2017-05-30
43.9
best: 67.04 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Small
R-1· 2017-05-30
40.03
best: 58.32 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Small
R-5· 2017-05-30
56.03
best: 76.51 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVehicleID to VeRi-776
Rank-1· 2017-05-30
55.24
best: 80.4 (SPCL)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVehicleID to VeRi-776
Rank-5· 2017-05-30
67.34
best: 89.05 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVehicleID to VeRi-776
mAP· 2017-05-30
17.06
best: 49.5 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
R-1· 2017-05-30
33.83
best: 53.49 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
R-5· 2017-05-30
49.72
best: 74.36 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Unsupervised Domain AdaptationonVeri-776 to VehicleID Medium
mAP· 2017-05-30
37.68
best: 63.02 (CORE-ReID V2)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444

Computer Vision8 results

Person Re-IdentificationonDukeMTMC-reID
MAP· 2017-05-30
16.4
best: 76.8 (TMGF)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonDukeMTMC-reID
Rank-10· 2017-05-30
48.5
best: 97.9 (CTL Model (ResNet50, 256x128))
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonDukeMTMC-reID
Rank-5· 2017-05-30
43.4
best: 96.5 (Viewpoint-Aware Loss(RK))
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonMarket-1501
MAP· 2017-05-30
20.5
best: 89.6 (TransReID-SSL (ViTi-S))
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonMarket-1501
Rank-10· 2017-05-30
66.7
best: 98.7 (TMGF)
SOTA
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2017-05-30
30
best: 95.6 (CTL Model (ResNet50, 256x128))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonMarket-1501
Rank-1· 2017-05-30
45.5
best: 98 (st-ReID(RE, RK))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonMarket-1501
Rank-5· 2017-05-30
60.7
best: 98.9 (st-ReID(RE, RK))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444