A curated list of resources including papers, report, and relevant links about Fine-grained Visual Classification(FGVC).
We are the Intelligent Multimedia Content Computing (IMCC) Lab members at University of Science and Technology of China (USTC). For any interest in our project or our lab, please contact Doctor Chuanbin Liu.
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- Awesome Fine-Grained Image Analysis – Papers, Codes and Datasets
- 深度学习之细粒度图像分类
- 南京理工大学教授魏秀参--图像细粒度识别综述
| Type | VA |
BP |
SS |
ViT |
SV |
OTS |
|---|---|---|---|---|---|---|
| Explanation | Visual Attention | Bilinear Pooling | Self-Supervised Learning | Vision Transformer | Survey | Others |
| Year | Venue | Paper Title | Link | Accuracy | Method |
|---|---|---|---|---|---|
| 2022 | Arxiv 2022 | Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition | Paper | 95.8% | VA |
| 2022 | TNNLS 2022 | Penalizing the Hard Example But Not Too Much: A Strong Baseline for Fine-Grained Visual Classification | Paper | 88.2% | OTS |
| 2022 | ECCV 2022 | Unbiased Manifold Augmentation for Coarse Class Subdivision | Paper/Code | ↑11.31% | OTS |
| 2022 | ECCV 2022 | Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification | Paper | 69.81% | OTS |
| 2022 | ECCV 2022 | Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism | Paper/Code | ~↑3% | BP |
| 2022 | CVPR 2022 | Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification | Paper | 92% | ViT |
| 2022 | CVPR 2022 | Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information | Paper | ~ | OTS |
| 2022 | CVPR 2022 | Fine-Grained Object Classification via Self-Supervised Pose Alignment | Paper | 90.2% | VA |
| 2020 | ECCV 2020 | Volumetric Transformer Networks | Paper/Code | 83.1% | VA |