| I2-HOFI |
- Accuracy
- 96.42%
|
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual Recognition 2024-10-20 |
코드 1 |
| SR-GNN |
- Accuracy
- 95.4
- FLOPS
- 9.8
- PARAMS
- 30.9
|
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization 2022-09-05 |
코드 1 |
| Inceptionv4 |
- Accuracy
- 95.11
|
Non-binary deep transfer learning for image classification 2021-07-19 |
코드 1 |
| CAP |
- Accuracy
- 94.9%
- PARAMS
- 34.2
|
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification 2021-01-17 |
코드 1 |
| TBMSL-Net |
- Accuracy
- 94.7%
|
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 |
| CMAL-Net |
- Accuracy
- 94.7%
|
Learn from Each Other to Classify Better: Cross-layer Mutual Attention Learning for Fine-grained Visual Classification 2023-03-22 |
코드 1 · 코드 2 |
| CSQA-Net |
- Accuracy
- 94.7%
|
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization 2024-03-15 |
연결 없음 |
| PART |
- Accuracy
- 94.6%
|
Part-guided Relational Transformers for Fine-grained Visual Recognition 2022-12-28 |
코드 1 |
| AENet |
- Accuracy
- 94.5%
|
Alignment Enhancement Network for Fine-grained Visual Categorization 2021-03-01 |
연결 없음 |
| SaSPA + CAL |
- Accuracy
- 94.5
|
Advancing Fine-Grained Classification by Structure and Subject Preserving Augmentation 2024-06-20 |
코드 1 |
| CAL |
- Accuracy
- 94.2
|
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification 2021-08-19 |
코드 1 |
| CGL |
- Accuracy
- 94.2%
|
Universal Fine-grained Visual Categorization by Concept Guided Learning 2025-01-06 |
코드 1 |
| AttNet & AffNet |
- Accuracy
- 94.1%
|
Fine-Grained Visual Classification with Efficient End-to-end Localization 2020-05-11 |
연결 없음 |
| CCFR |
- Accuracy
- 94.1%
|
Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition 2021-02-19 |
연결 없음 |
| DenseNet161+MM+FRL |
- Accuracy
- 94.0 %
|
Learning Class Unique Features in Fine-Grained Visual Classification 2020-11-22 |
연결 없음 |
| API-Net |
- Accuracy
- 93.9%
|
Learning Attentive Pairwise Interaction for Fine-Grained Classification 2020-02-24 |
코드 1 |
| DF-GMM |
- Accuracy
- 93.8%
|
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning 2020-06-01 |
연결 없음 |
| CMN |
- Accuracy
- 93.8%
|
연결 없음 논문 날짜 미기재 |
연결 없음 |
| Multi Granularity |
- Accuracy
- 93.6%
|
Your "Flamingo" is My "Bird": Fine-Grained, or Not 2020-11-18 |
코드 1 |
| DB |
- Accuracy
- 93.5%
|
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes 2019-12-14 |
연결 없음 |
| BCN |
- Accuracy
- 93.5%
|
Fine-Grained Visual Classification with Batch Confusion Norm 2019-10-28 |
연결 없음 |
| ELoPE |
- Accuracy
- 93.5%
|
ELoPE: Fine-Grained Visual Classification with Efficient Localization, Pooling and Embedding 2019-11-17 |
코드 1 |
| SEB+EfficientNet-B5 |
- Accuracy
- 93.5
|
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition 2022-05-26 |
코드 1 |
| Grad-CAM |
- Accuracy
- 93.42%
|
Grad-CAM guided channel-spatial attention module for fine-grained visual classification 2021-01-24 |
연결 없음 |
| PMG |
- Accuracy
- 93.4%
|
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 |
| CIN |
- Accuracy
- 93.3%
|
Channel Interaction Networks for Fine-Grained Image Categorization 2020-03-11 |
연결 없음 |
| DCAL |
- Accuracy
- 93.3%
|
Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification 2022-05-04 |
연결 없음 |
| GCL |
- Accuracy
- 93.2%
|
Graph-propagation based Correlation Learning for Weakly Supervised Fine-grained Image Classification 2020-02-14 |
연결 없음 |
| Mix+ |
- Accuracy
- 93.1%
|
Attribute Mix: Semantic Data Augmentation for Fine Grained Recognition 2020-04-06 |
코드 1 |
| ViT-SAC |
- Accuracy
- 93.1%
|
Fine-Grained Visual Classification using Self Assessment Classifier 2022-05-21 |
코드 1 |