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Models/DiP (without RK)

DiP (without RK)

Reported on 12 benchmarks across 1 task · 1 paper · 1 SOTA

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

Computer Vision12 results

Person Re-IdentificationonOccluded-DukeMTMC
mAP· 2022-12-24
63.1
best: 75.11 (KPR + SOLIDER)
SOTA
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonMSMT17
Rank-1· 2022-12-24
87.3
best: 91.7 (SOLIDER (with re-ranking))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonMSMT17
mAP· 2022-12-24
71.8
best: 86.7 (CLIP-ReID (with re-ranking))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonCUHK03 detected
MAP· 2022-12-24
83.1
best: 86.9 (Top-DB-Net + RK)
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonCUHK03 detected
Rank-1· 2022-12-24
85.4
best: 85.7 (Top-DB-Net + RK)
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonCUHK03 labeled
MAP· 2022-12-24
85.7
best: 89.29 (Weakly Pre-training (ResNet101+RK))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonCUHK03 labeled
Rank-1· 2022-12-24
87
best: 87.86 (Weakly Pre-training (ResNet101+RK))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonMarket-1501
Rank-1· 2022-12-24
95.8
best: 98 (st-ReID(RE, RK))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonMarket-1501
mAP· 2022-12-24
90.8
best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonOccluded-DukeMTMC
Rank-1· 2022-12-24
71.1
best: 84.31 (KPR + SOLIDER)
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2022-12-24
91.7
best: 95.6 (CTL Model (ResNet50, 256x128))
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906
Person Re-IdentificationonDukeMTMC-reID
mAP· 2022-12-24
85.2
best: 97.1 (DenseIL)
DiP: Learning Discriminative Implicit Parts for Person Re-Identification arXiv:2212.13906