Destruction and Construction Learning for Fine-grained Image Recognition

时间 2020-12-26

标签细粒度分类繁體版

原文原文链接

Destruction and Construction Learning for Fine-grained Image Recognition 一种细粒度分类的文章，使用乱序产生attention。网络结构文中贡献文中贡献主要有三个部分（1）图像处理操作中打乱顺序（2）在neck部分加入了对抗loss，使得网络能够识别出哪个是乱序哪个是顺序。（3）使用roi alig

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1. Destruction and Construction Learning for Fine-grained Image Recognition
2. 论文笔记20 -- Destruction and Construction Learning for Fine-grained Image Recognition
3. 2019CVPR细粒度论文笔记《Destruction and Construction Learning for Fine-grained Image Recognition》
4. 度量学习、细粒度识别相关论文阅读笔记（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
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1. Destruction and Construction Learning for Fine-grained Image Recognition
2. 论文笔记20 -- Destruction and Construction Learning for Fine-grained Image Recognition
3. 2019CVPR细粒度论文笔记《Destruction and Construction Learning for Fine-grained Image Recognition》
4. 度量学习、细粒度识别相关论文阅读笔记（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

>>更多相关文章<<