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iNaturalist

Image Retrieval Benchmark

Performance Over Time

📊 Showing 10 results | 📏 Metric: R@1

Top Performing Models

Rank Model Paper R@1 Date Code
1 Unicom+ViT-L@336px 📚 Unicom: Universal and Compact Representation Learning for Image Retrieval 88.90 2023-04-12 📦 OML-Team/open-metric-learning 📦 deepglint/unicom 📦 RocketFlash/easy_metric_learning
2 EfficientDML-VPTSP-G/512 Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning 84.50 2024-02-04 📦 noahsark/parameterefficient-dml
3 Recall@k Surrogate loss (ViT-B/16) Recall@k Surrogate Loss with Large Batches and Similarity Mixup 83.00 2021-08-25 📦 yash0307/RecallatK_surrogate 📦 yash0307/recallatk
4 ROADMAP (DeiT-S) Robust and Decomposable Average Precision for Image Retrieval 73.60 2021-10-01 📦 elias-ramzi/roadmap
5 Recall@k Surrogate loss (ResNet-50) Recall@k Surrogate Loss with Large Batches and Similarity Mixup 71.80 2021-08-25 📦 yash0307/RecallatK_surrogate 📦 yash0307/recallatk
6 HAPPIER_F (ResNet-50) Hierarchical Average Precision Training for Pertinent Image Retrieval 71.00 2022-07-05 📦 elias-ramzi/happier 📦 elias-ramzi/suprank
7 HAPPIER (ResNet-50) Hierarchical Average Precision Training for Pertinent Image Retrieval 70.70 2022-07-05 📦 elias-ramzi/happier 📦 elias-ramzi/suprank
8 ROADMAP (ResNet-50) Robust and Decomposable Average Precision for Image Retrieval 69.10 2021-10-01 📦 elias-ramzi/roadmap
9 Smooth-AP Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval 67.20 2020-07-23 📦 Andrew-Brown1/Smooth_AP 📦 interestingzhuo/foodretreival
10 PNP Loss Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough 66.60 2021-02-09 📦 interestingzhuo/pnploss 📦 interestingzhuo/pnp_loss

All Papers (10)