Multi-label Image Recognition by Recurrently Discovering Attentional Regions（閱讀筆記簡略）
論文摘要 這部分從博客文章Multi-label Image Recognition by Recurrently Discovering Attentional Regions中摘抄而來 論文擬解決問題：使用一種新的深度神經網絡結構實現多標籤的圖像識別任務； 傳統方法及其缺陷：傳統多標籤分類器往往需要預測候選區域（region proposal），這種方法往往會造成額外開銷，性能也難以達到最好；
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相關文章
- 1. Deep Residual Learning for Image Recognition閱讀筆記
- 2. 論文閱讀筆記《Few-Shot Image Recognition by Predicting Parameters from Activations》
- 3. 《2006_ICPR_Low Resolution Character Recognition by Image Quality Evaluation》閱讀筆記
- 4. Deep Residual Learning for Image Recognition--ResNet論文閱讀筆記
- 5. Facial Expression Recognition by De-expression Residue Learning閱讀筆記
- 6. ResNet 《Deep Residual Learning for Image Recognition》 閱讀筆記
- 7. DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks閱讀筆記
- 8. Deep Image Prior 閱讀筆記
- 9. Disentangled Image Matting閱讀筆記
- 10. Deep image prior閱讀筆記