論文閱讀筆記 | (ECCV 2018) Learning to Navigate for Fine-grained Classification
論文來自北京大學，做細粒度圖像分類。 論文下載：Learning to Navigate for Fine-grained Classification Abstract 由於找出判別特徵比較困難，細粒度圖像分類具有挑戰性。找到完全表徵對象的那些微妙特徵並不簡單。爲了處理這種情況，文章提出了一種新穎的自我監督（self-supervision ）機制，可以有效地定位信息區域而無需邊界框/部分註釋（
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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. 論文閱讀筆記《Learning to Select Base Classes for Few-shot Classification》
- 3. LEARNING TO NAVIGATE IN COMPLEX ENVIRONMENTS 閱讀筆記
- 4. Machine Learning & Deep Learning 論文閱讀筆記
- 5. Learning to Navigate for Fine-grained Classification 論文學習
- 6. 論文閱讀筆記《Deep Active Learning for Civil Infrastructure Defect Detection and Classification》
- 7. 論文閱讀筆記《Meta-learning for semi-supervised few-shot classification》
- 8. 論文閱讀筆記《SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning》
- 9. 論文閱讀筆記《Dense Classification and Implanting for Few-Shot Learning》
- 10. 論文閱讀筆記《Meta-SGD: Learning to Learn Quickly for Few-Shot Learning》