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-IdentificationonMSMT17
Rank-1· 2024-05-02
83.8
best: 91.7 (SOLIDER (with re-ranking))
Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination arXiv:2405.01101
Person Re-IdentificationonMSMT17
mAP· 2024-05-02
67.6
best: 86.7 (CLIP-ReID (with re-ranking))
Enhancing person re-identification via Uncertainty Feature Fusion Method and Auto-weighted Measure Combination arXiv:2405.01101