See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visu
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification 一篇基於attention 機制的細粒度分類模型 細粒度是粗粒度的延深，類間差距小，類內差距大。 早期的研究中主要使用較多的人工標註來認爲的定位attention
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相關文章
- 1. See Better Before Looking Closer WSDAN
- 2. Weakly Supervised Data Augmentation Net-work (WS-DAN)
- 3. WS-DAN:Weakly Supervised Data Augmentation Netowrk for Fine-Grained Visual Classification
- 4. [ParseNet]ParseNet: Looking Wider to See Better
- 5. Look Closer to See Better——細粒度分類
- 6. 《Adversarial learning for weakly-supervised social network alignment》翻譯
- 7. （轉）AutoML for Data Augmentation
- 8. 論文筆記：ParseNet: Looking Wider to See Better
- 9. Look Closer to See Better 梅濤大神作品
- 10. Two-Phase Learning for Weakly Supervised Object Localization