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Models/ResNet101+ArcFace GLDv2-train-clean

ResNet101+ArcFace GLDv2-train-clean

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Computer Vision6 results

Image RetrievalonROxford (Medium)
mAP· 2020-04-03
74.2
best: 90.7 (AMES)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804
Image RetrievalonRParis (Medium)
mAP· 2020-04-03
84.9
best: 94.9 (AMES)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804
Image RetrievalonRParis (Hard)
mAP· 2020-04-03
70.3
best: 89.7 (AMES)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804
Image RetrievalonGoogle Landmarks Dataset v2 (retrieval, testing)
mAP@100· 2020-04-03
24.15
best: 37.8 (AMES)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804
Image RetrievalonROxford (Hard)
mAP· 2020-04-03
51.6
best: 80.2 (SuperGlobal)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804
Image RetrievalonGoogle Landmarks Dataset v2 (retrieval, validation)
mAP@100· 2020-04-03
22.2
best: 33.1 (UNICOM-ViT-L-14-512px)
SOTA
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval arXiv:2004.01804