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Models/TriNet

TriNet

Reported on 10 benchmarks across 1 task · 1 paper · 4 SOTA

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

Computer Vision10 results

Person Re-IdentificationonMarket-1501
Rank-5· 2017-03-22
94.21
best: 98.9 (st-ReID(RE, RK))
SOTA
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonMARS
Rank-5· 2017-03-22
91.36
best: 97.23 (PiT)
SOTA
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonCUHK03
Rank-1· 2017-03-22
89.63
best: 97.8 (AlignedReID (RK))
SOTA
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonCUHK03
Rank-5· 2017-03-22
99.01
best: 99.6 (AlignedReID (RK))
SOTA
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonMarket-1501
Rank-1· 2017-03-22
84.92
best: 98 (st-ReID(RE, RK))
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonMarket-1501
mAP· 2017-03-22
69.14
best: 96.21 (Unsupervised Pre-training (ResNet101+RK))
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonDukeMTMC-reID
Rank-1· 2017-03-22
72.44
best: 95.6 (CTL Model (ResNet50, 256x128))
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonDukeMTMC-reID
mAP· 2017-03-22
53.5
best: 97.1 (DenseIL)
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonMARS
Rank-1· 2017-03-22
79.8
best: 90.8 (DenseIL)
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737
Person Re-IdentificationonMARS
mAP· 2017-03-22
67.7
best: 88.5 (B-BOT + OSM + CL Centers* (Re-rank))
In Defense of the Triplet Loss for Person Re-Identification arXiv:1703.07737