PUL*

Reported on 4 benchmarks across 1 task · 1 paper

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

Computer Vision4 results

Person Re-IdentificationonMarket-1501
Rank-1· 2017-05-30
44.7
best: 98 (st-ReID(RE, RK))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonMarket-1501
mAP· 2017-05-30
20.1
best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2017-05-30
30.4
best: 95.6 (CTL Model (ResNet50, 256x128))
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444
Person Re-IdentificationonDukeMTMC-reID
mAP· 2017-05-30
16.4
best: 97.1 (DenseIL)
Unsupervised Person Re-identification: Clustering and Fine-tuning arXiv:1705.10444