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Image Retrieval On Google Landmarks Dataset
Metrics
mAP@100
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| AMES | 37.8 | AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval | |
| UNICOM-ViT-L-14-512px | 36.4 | Unicom: Universal and Compact Representation Learning for Image Retrieval | |
| UNICOM-ViT-B-16-512px | 35.7 | Unicom: Universal and Compact Representation Learning for Image Retrieval | |
| ResNet101+ArcFace GLDv2-train-clean | 24.15 | Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval |
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