| TResnet-L + PMD |
- Accuracy
- 97.3%
|
Progressive Multi-task Anti-Noise Learning and Distilling Frameworks for Fine-grained Vehicle Recognition 2024-01-25 |
코드 1 |
| CMAL-Net |
- Accuracy
- 97.1%
|
Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification 2023-03-22 |
코드 1 · 코드 2 |
| I2-HOFI |
- Accuracy
- 96.92%
|
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition 2024-10-20 |
코드 1 |
| TResNet-L + ML-Decoder |
- Accuracy
- 96.41%
|
ML-Decoder: Scalable and Versatile Classification Head 2021-11-25 |
코드 1 |
| DAT |
- Accuracy
- 96.2%
|
Domain Adaptive Transfer Learning with Specialist Models 2018-11-16 |
연결 없음 |
| ALIGN |
- Accuracy
- 96.13%
|
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision 2021-02-11 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| SR-GNN |
- Accuracy
- 96.1
- FLOPS
- 9.8
- PARAMS
- 30.9
|
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 2022-09-05 |
코드 1 |
| EffNet-L2 (SAM) |
- Accuracy
- 95.96%
|
Sharpness-Aware Minimization for Efficiently Improving Generalization 2020-10-03 |
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 · 코드 17 · 코드 18 |
| SaSPA + CAL |
- Accuracy
- 95.72
|
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation 2024-06-20 |
코드 1 |
| CAP |
- Accuracy
- 95.7%
|
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification 2021-01-17 |
코드 1 |
| AttNet & AffNet |
- Accuracy
- 95.6%
|
Fine-Grained Visual Classification with Efficient End-to-end Localization 2020-05-11 |
연결 없음 |
| CSQA-Net |
- Accuracy
- 95.6%
|
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization 2024-03-15 |
연결 없음 |
| CAL |
- Accuracy
- 95.5%
|
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification 2021-08-19 |
코드 1 |
| CCFR |
- Accuracy
- 95.5%
|
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition 2021-02-19 |
연결 없음 |
| MPSA |
- Accuracy
- 95.4%
|
Multi-Granularity Part Sampling Attention for Fine-Grained Visual Classification 2024-08-16 |
코드 1 |
| Inceptionv4 |
- Accuracy
- 95.35%
|
Non-binary deep transfer learning for image classification 2021-07-19 |
코드 1 |
| API-Net |
- Accuracy
- 95.3%
|
Learning Attentive Pairwise Interaction for Fine-Grained Classification 2020-02-24 |
코드 1 |
| DCAL |
- Accuracy
- 95.3%
|
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification 2022-05-04 |
연결 없음 |
| PART |
- Accuracy
- 95.3%
|
Part-guided Relational Transformers for Fine-grained Visual Recognition 2022-12-28 |
코드 1 |
| DenseNet161+MM+FRL |
- Accuracy
- 95.2%
|
Learning Class Unique Features in Fine-Grained Visual Classification 2020-11-22 |
연결 없음 |
| PMG |
- Accuracy
- 95.1%
|
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches 2020-03-08 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 |
| Multi Granularity |
- Accuracy
- 95.1%
|
Your "Flamingo" is My "Bird": Fine-Grained, or Not 2020-11-18 |
코드 1 |
| TBMSL-Net |
- Accuracy
- 95.0%
|
Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization 2020-03-20 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 |
| ELoPE |
- Accuracy
- 95.0%
|
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding 2019-11-17 |
코드 1 |
| ViT-NeT (SwinV2-B) |
- Accuracy
- 95.0%
|
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder 2022-07-17 |
코드 1 |
| AFTrans |
- Accuracy
- 95.0%
|
A free lunch from ViT:Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition 2021-10-04 |
연결 없음 |
| DB |
- Accuracy
- 94.9%
|
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes 2019-12-14 |
연결 없음 |
| Attribute Mix+ |
- Accuracy
- 94.9%
|
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition 2020-04-06 |
코드 1 |
| AutoAugment |
- Accuracy
- 94.8%
|
AutoAugment: Learning Augmentation Policies from Data 2018-05-24 |
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 · 코드 17 · 코드 18 · 코드 19 · 코드 20 · 코드 21 · 코드 22 · 코드 23 · 코드 24 · 코드 25 · 코드 26 · 코드 27 · 코드 28 · 코드 29 · 코드 30 · 코드 31 · 코드 32 · 코드 33 |
| BCN |
- Accuracy
- 94.8%
|
Fine-Grained Visual Classification with Batch Confusion Norm 2019-10-28 |
연결 없음 |