Destruction and Construction Learning for Fine-grained Image Recognition
Destruction and Construction Learning for Fine-grained Image Recognition 一種細粒度分類的文章，使用亂序產生attention。 網絡結構 文中貢獻 文中貢獻主要有三個部分（1）圖像處理操作中打亂順序 （2）在neck部分加入了對抗loss，使得網絡能夠識別出哪個是亂序哪個是順序。（3）使用roi alig
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相關文章
- 1. Destruction and Construction Learning for Fine-grained Image Recognition
- 2. 論文筆記20 -- Destruction and Construction Learning for Fine-grained Image Recognition
- 3. 2019CVPR細粒度論文筆記《Destruction and Construction Learning for Fine-grained Image Recognition》
- 4. 度量學習、細粒度識別相關論文閱讀筆記（三）—— Destruction and Construction Learning for Fine-grained 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. Deep Residual Learning for Image Recognition （zh）
- 10. [ResNet]Deep Residual Learning for Image Recognition