ML Research Wiki / Benchmarks / Image Retrieval / CUB-200-2011

CUB-200-2011

Image Retrieval Benchmark

Performance Over Time

📊 Showing 7 results | 📏 Metric: R@1

Top Performing Models

Rank Model Paper R@1 Date Code
1 CGD (MG/SG) Combination of Multiple Global Descriptors for Image Retrieval 79.20 2019-03-26 📦 naver/cgd 📦 leftthomas/CGD 📦 clovaai/embedding-expansion
2 ROADMAP (Deit-B) Robust and Decomposable Average Precision for Image Retrieval 77.40 2021-10-01 📦 elias-ramzi/roadmap
3 ProxyNCA++ ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis 72.20 2020-04-02 📦 euwern/proxynca_pp
4 ROADMAP (ResNet-50) Robust and Decomposable Average Precision for Image Retrieval 68.50 2021-10-01 📦 elias-ramzi/roadmap
5 MS512 Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning 65.70 2019-04-14 📦 bnu-wangxun/Deep_Metric 📦 MalongTech/research-ms-loss
6 NormSoftmax2048 (ResNet-50) Classification is a Strong Baseline for Deep Metric Learning 65.30 2018-11-30 📦 microsoft/computervision-recipes 📦 azgo14/classification_metric_learning
7 EPSHN512 Improved Embeddings with Easy Positive Triplet Mining 64.90 2019-04-08 📦 littleredxh/DREML 📦 littleredxh/EasyPositiveHardNegative 📦 SilverIonn/EPHN-OpenSet

All Papers (7)

naver/cgd leftthomas/CGD
elias-ramzi/roadmap
euwern/proxynca_pp
elias-ramzi/roadmap
bnu-wangxun/Deep_Metric MalongTech/research-ms-loss
microsoft/computervision-recipes azgo14/classification_metric_learning
littleredxh/DREML littleredxh/EasyPositiveHardNegative SilverIonn/EPHN-OpenSet