Tasks
SotA
Datasets
Papers
Methods
Submit
About
SotA
/
Methodology
/
Metric Learning
/
In-Shop
Metric Learning on In-Shop
Metric: R@1 (higher is better)
Leaderboard
Dataset
Loading chart...
Results
Submit a result
Hide augmentations
Export CSV
Sort:
R@1 (best first)
R@1 (worst first)
Date (newest first)
Date (oldest first)
Model name (A→Z)
#
Model
↕
R@1
▼
Augmentations
Paper
Date
↕
Code
1
Unicom+ViT-L@336px
96.7
Yes
Unicom: Universal and Compact Representation Lea...
2023-04-12
Code
2
STIR
95
No
STIR: Siamese Transformer for Image Retrieval Po...
2023-04-26
Code
3
MGA
94.3
No
Fashion Image Retrieval with Multi-Granular Alig...
2023-02-16
-
4
Hyp-ViT
92.5
Yes
Hyperbolic Vision Transformers: Combining Improv...
2022-03-21
Code
5
Hyp-DINO
92.4
No
Hyperbolic Vision Transformers: Combining Improv...
2022-03-21
Code
6
CCL (ResNet-50)
92.31
No
Center Contrastive Loss for Metric Learning
2023-08-01
-
7
Gradient Surgery
92.21
No
Dissecting the impact of different loss function...
2022-01-27
-
8
ResNet-50 + Metrix
92.2
Yes
It Takes Two to Tango: Mixup for Deep Metric Lea...
2021-06-09
Code
9
ViT-Triplet
92.1
No
STIR: Siamese Transformer for Image Retrieval Po...
2023-04-26
Code
10
EfficientDML-VPTSP-G/512
92.1
Yes
Learning Semantic Proxies from Visual Prompts fo...
2024-02-04
Code
11
NED
91.3
Yes
Calibrated neighborhood aware confidence measure...
2020-06-08
-
12
ResNet-50 + ProxyNCA++
90.9
Yes
ProxyNCA++: Revisiting and Revitalizing Proxy Ne...
2020-04-02
Code
13
ResNet-50 + Cross-Entropy
90.6
Yes
A unifying mutual information view of metric lea...
2020-03-19
Code
14
SCT(512)
90
No
Hard negative examples are hard, but useful
2020-07-24
Code
15
EPSHN(512)
87.8
No
Improved Embeddings with Easy Positive Triplet M...
2019-04-08
Code
#1
Unicom+ViT-L@336px
SOTA
96.7
R@1
· Augmentations
· 2023-04-12
Unicom: Universal and Compact Representation Learning for Image Retrieval
Code
#2
STIR
95
R@1
· 2023-04-26
STIR: Siamese Transformer for Image Retrieval Postprocessing
Code
#3
MGA
SOTA
94.3
R@1
· 2023-02-16
Fashion Image Retrieval with Multi-Granular Alignment
#4
Hyp-ViT
SOTA
92.5
R@1
· Augmentations
· 2022-03-21
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Code
#5
Hyp-DINO
92.4
R@1
· 2022-03-21
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
Code
#6
CCL (ResNet-50)
92.31
R@1
· 2023-08-01
Center Contrastive Loss for Metric Learning
#7
Gradient Surgery
SOTA
92.21
R@1
· 2022-01-27
Dissecting the impact of different loss functions with gradient surgery
#8
ResNet-50 + Metrix
SOTA
92.2
R@1
· Augmentations
· 2021-06-09
It Takes Two to Tango: Mixup for Deep Metric Learning
Code
#9
ViT-Triplet
92.1
R@1
· 2023-04-26
STIR: Siamese Transformer for Image Retrieval Postprocessing
Code
#10
EfficientDML-VPTSP-G/512
92.1
R@1
· Augmentations
· 2024-02-04
Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Code
#11
NED
SOTA
91.3
R@1
· Augmentations
· 2020-06-08
Calibrated neighborhood aware confidence measure for deep metric learning
#12
ResNet-50 + ProxyNCA++
SOTA
90.9
R@1
· Augmentations
· 2020-04-02
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
Code
#13
ResNet-50 + Cross-Entropy
SOTA
90.6
R@1
· Augmentations
· 2020-03-19
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
Code
#14
SCT(512)
90
R@1
· 2020-07-24
Hard negative examples are hard, but useful
Code
#15
EPSHN(512)
SOTA
87.8
R@1
· 2019-04-08
Improved Embeddings with Easy Positive Triplet Mining
Code