OpenCodePapers
image-retrieval-on-inaturalist
Image Retrieval
Dataset Link
Results over time
Click legend items to toggle metrics. Hover points for model names.
Leaderboard
Show papers without code
Paper
Code
R@1
↕
R@16
↕
R@32
↕
R@5
↕
ModelName
ReleaseDate
↕
Unicom: Universal and Compact Representation Learning for Image Retrieval
✓ Link
88.9
Unicom+ViT-L@336px
2023-04-12
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
✓ Link
84.5
EfficientDML-VPTSP-G/512
2024-02-04
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
✓ Link
83.0
95.9
97.2
92.1
Recall@k Surrogate loss (ViT-B/16)
2021-08-25
Robust and Decomposable Average Precision for Image Retrieval
✓ Link
73.6
93.1
95.2
86.2
ROADMAP (DeiT-S)
2021-10-01
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
✓ Link
71.8
91.9
94.3
84.7
Recall@k Surrogate loss (ResNet-50)
2021-08-25
Hierarchical Average Precision Training for Pertinent Image Retrieval
✓ Link
71.0
HAPPIER_F (ResNet-50)
2022-07-05
Hierarchical Average Precision Training for Pertinent Image Retrieval
✓ Link
70.7
HAPPIER (ResNet-50)
2022-07-05
Robust and Decomposable Average Precision for Image Retrieval
✓ Link
69.1
91.3
93.9
83.1
ROADMAP (ResNet-50)
2021-10-01
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
✓ Link
67.2
90.3
93.1
81.8
Smooth-AP
2020-07-23
Rethinking the Optimization of Average Precision: Only Penalizing Negative Instances before Positive Ones is Enough
✓ Link
66.6
89.7
92.6
PNP Loss
2021-02-09