CLIP-ReID Baseline+UFFM+AMC

Reported on 2 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 Vision2 results

Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2024-05-02
91.3
best: 95.6 (CTL Model (ResNet50, 256x128))
Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination arXiv:2405.01101
Person Re-IdentificationonDukeMTMC-reID
mAP· 2024-05-02
85
best: 97.1 (DenseIL)
Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination arXiv:2405.01101