Learning to Navigate for Fine-grained Classification
ECCV 2018 北京大学 Abstract 找出完全表征对象的细微特征并不简单（细粒度分类的挑战性） 文章提出新颖的自监督(self-supervision)机制，无需bbox和part annotations，即可有效定位信息区域。 模型：NTS-Net（ Navigator-Teacher-Scrutinizer Network）== Navigator agent，Teacher age
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相关文章
- 1. 论文阅读笔记 | (ECCV 2018) Learning to Navigate for Fine-grained Classification
- 2. Learning to Navigate for Fine-grained Classification 论文学习
- 3. LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS 阅读笔记
- 4. Learning to Navigate in Cities Without a Map 理解
- 5. Navigate for oracle for mac 下载及使用
- 6. Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification
- 7. Hierarchical Attention Networks for Document Classification学习笔记
- 8. Beyond Short Snippets: Deep Networks for Video Classification简介
- 9. Deep learning From Image to Sequence
- 10. TVM: End-to-End Optimization Stack for Deep Learning