Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition 文中貢獻概覽 文中首次使用了對每一張圖片多attention區域特徵提取。這種提取基於OSME，並且應用到度量學習中。 MAMC將相同attention 中的相同類別更加接近，不同attention 或者不同類別差別較大。 OSMAE展
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相關文章
- 1. Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition（ECCV2018）
- 2. ResNet：Deep Residual for Image Recognition
- 3. ResNet--Deep Residual Learning for Image Recognition
- 4. [ResNet]Deep Residual Learning for Image Recognition
- 5. Deep Residual Learning for Image Recognition
- 6. ResNet —— Deep Residual Learning for Image Recognition
- 7. Learning Transferable Architectures for Scalable image recognition
- 8. Learning Transferable Architectures for Scalable Image Recognition
- 9. CVPR2020《Exploring Self-attention for Image Recognition》
- 10. Deep Residual Learning for Image Recognition （zh）