| Unicom+ViT-L@336px |
- R@1
- 91.2
|
Unicom: Universal and Compact Representation Learning for Image Retrieval
2023-04-12 |
코드 1 · 코드 2 · 코드 3 |
| STIR |
- R@1
- 88.3
|
STIR: Siamese Transformer for Image Retrieval Postprocessing
2023-04-26 |
코드 1 |
| Recall@k Surrogate Loss (ViT-B/16) |
- R@1
- 88.0
|
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
2021-08-25 |
코드 1 · 코드 2 |
| ViT-Triplet |
- R@1
- 86.5
|
STIR: Siamese Transformer for Image Retrieval Postprocessing
2023-04-26 |
코드 1 |
| ROADMAP (DeiT-S) |
- R@1
- 86.0
|
Robust and Decomposable Average Precision for Image Retrieval
2021-10-01 |
코드 1 |
| Hyp-ViT |
- R@1
- 85.9
|
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
2022-03-21 |
코드 1 · 코드 2 |
| Hyp-DINO |
- R@1
- 85.1
|
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
2022-03-21 |
코드 1 · 코드 2 |
| Recall@k Surrogate Loss (ViT-B/32) |
- R@1
- 85.1
|
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
2021-08-25 |
코드 1 · 코드 2 |
| ROADMAP (ResNet-50) |
- R@1
- 83.1
|
Robust and Decomposable Average Precision for Image Retrieval
2021-10-01 |
코드 1 |
| CCL (ResNet-50) |
- R@1
- 83.10
|
Center Contrastive Loss for Metric Learning
2023-08-01 |
연결 없음 |
| Recall@k Surrogate Loss (ResNet-50) |
- R@1
- 82.7
|
Recall@k Surrogate Loss with Large Batches and Similarity Mixup
2021-08-25 |
코드 1 · 코드 2 |
| Gradient Surgery |
- R@1
- 82.3
|
Dissecting the impact of different loss functions with gradient surgery
2022-01-27 |
연결 없음 |
| HAPPIER_F |
- R@1
- 81.8
|
Hierarchical Average Precision Training for Pertinent Image Retrieval
2022-07-05 |
코드 1 · 코드 2 |
| SCT(512) |
- R@1
- 81.6
|
Hard negative examples are hard, but useful
2020-07-24 |
코드 1 |
| ResNet-50 + Metrix |
- R@1
- 81.3
|
It Takes Two to Tango: Mixup for Deep Metric Learning
2021-06-09 |
코드 1 |
| ResNet50 + Language |
- R@1
- 81.3
|
Integrating Language Guidance into Vision-based Deep Metric Learning
2022-03-16 |
코드 1 |
| NED |
- R@1
- 81.2
|
Calibrated neighborhood aware confidence measure for deep metric learning
2020-06-08 |
연결 없음 |
| ResNet-50 + Cross-Entropy |
- R@1
- 81.1
|
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses
2020-03-19 |
코드 1 |
| ResNet50 + S2SD |
- R@1
- 81.0
|
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning
2020-09-17 |
코드 1 |
| HAPPIER |
- R@1
- 81.0
|
Hierarchical Average Precision Training for Pertinent Image Retrieval
2022-07-05 |
코드 1 · 코드 2 |
| ResNet-50 + ProxyNCA++ |
- R@1
- 80.7
|
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis
2020-04-02 |
코드 1 |
| ResNet50 + NIR |
- R@1
- 80.7
|
Non-isotropy Regularization for Proxy-based Deep Metric Learning
2022-03-16 |
코드 1 |
| MS + DAS (K=8) |
- R@1
- 80.59
|
DAS: Densely-Anchored Sampling for Deep Metric Learning
2022-07-30 |
코드 1 |
| BN-Inception + Proxy-Anchor |
- R@1
- 80.3
|
Proxy Anchor Loss for Deep Metric Learning
2020-03-31 |
코드 1 · 코드 2 · 코드 3 |
| ResNet50 + DiVA |
- R@1
- 79.6
|
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning
2020-04-28 |
코드 1 · 코드 2 |
| ResNet50 + AVSL |
- R@1
- 79.6
|
Attributable Visual Similarity Learning
2022-03-28 |
코드 1 |
| Margin + DIML |
- R@1
- 79.26
|
Towards Interpretable Deep Metric Learning with Structural Matching
2021-08-12 |
코드 1 |
| Circle Loss |
- R@1
- 78.3
|
Circle Loss: A Unified Perspective of Pair Similarity Optimization
2020-02-25 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 |
| EPSHN(512) |
- R@1
- 78.3
|
Improved Embeddings with Easy Positive Triplet Mining
2019-04-08 |
코드 1 · 코드 2 · 코드 3 |
| QB-Norm+RDML |
- R@1
- 78.1
|
Cross Modal Retrieval with Querybank Normalisation
2021-12-23 |
코드 1 |