Image Retrieval On In Shop
Metrics
R@1
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | R@1 |
|---|---|
| cross-batch-memory-for-embedding-learning | 91.3 |
| multi-similarity-loss-with-general-pair | 89.7 |
| combination-of-multiple-global-descriptors | 91.9 |
| improved-embeddings-with-easy-positive | 87.8 |
| proxynca-revisiting-and-revitalizing-proxy | 90.9 |
| making-classification-competitive-for-deep | 89.4 |
| attention-based-ensemble-for-deep-metric | 87.3 |