Learning to Navigate for Fine-grained Classification
ECCV 2018 北京大學 Abstract 找出完全表徵對象的細微特徵並不簡單（細粒度分類的挑戰性） 文章提出新穎的自監督(self-supervision)機制，無需bbox和part annotations，即可有效定位信息區域。 模型：NTS-Net（ Navigator-Teacher-Scrutinizer Network）== Navigator agent，Teacher age
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相關文章
- 1. 論文閱讀筆記 | (ECCV 2018) Learning to Navigate for Fine-grained Classification
- 2. Learning to Navigate for Fine-grained Classification 論文學習
- 3. LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS 閱讀筆記
- 4. Learning to Navigate in Cities Without a Map 理解
- 5. Navigate for oracle for mac 下載及使用
- 6. Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification
- 7. Hierarchical Attention Networks for Document Classification學習筆記
- 8. Beyond Short Snippets: Deep Networks for Video Classification簡介
- 9. Deep learning From Image to Sequence
- 10. TVM: End-to-End Optimization Stack for Deep Learning