Bags of Local Convolutional Features for Scalable Instance Search論文翻譯
Bags of Local Convolutional Features for Scalable Instance Search論文翻譯 轉自https://zhuanlan.zhihu.com/p/34194359 僅供個人學習 如有侵權 請聯繫刪除 ABSTRACT 本文使用詞袋聚合的方法（BoW）對CNN的卷積特徵進行編碼，從而提出一種簡單的信息檢索方法。將卷積層的每個輸出與一個視覺單詞相
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相關文章
- 1. Bags of Local Convolutional Features for Scalable Instance Search 論文解讀
- 2. 論文解讀 Saliency Weighted Convolutional Features for Instance Search
- 3. Class-Weighted Convolutional Features for Visual Instance Search
- 4. Faster R-CNN Features for Instance Search
- 5. 【論文翻譯】Fully Convolutional Networks for Semantic Segmentation
- 6. 【論文翻譯】Fully Convolutional Networks for semantic Segmentation
- 7. 【論文翻譯】Fully Convolutional Networks for Semantic Segmentation_2
- 8. 轉載圖像檢索Class-Weighted Convolutional Features for Visual Instance Search
- 9. 論文中英對照翻譯--（Fusing Multiple Deep Features for Face Anti-spoofing）
- 10. Selective Search for Object Recognition論文翻譯