Person Search via A Mask-Guided Two-Stream CNN Model論文筆記
1.概述 論文主要是爲了解決行人搜索（行人檢測+行人重識別），論文將行人檢索看成兩個階段，認爲分離的檢測器和re-ID特徵提取能夠產生更高的性能。論文提出了一個基於Mask-guided的雙路CNN模型，一個分支是通過輸入原始圖像，輸出檢測後的行人候選框，另一個分支是通過預訓練實例分割模型，提取原始圖片的行人二值化掩膜。 2.方法介紹 如上圖所示：主要有兩個階段組成（檢測分割階段、re-ID階段）
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相關文章
- 1. 1611.A Discriminatively Learned CNN Embedding for Person Re-identification論文閱讀筆記
- 2. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 3. 1707.ICCV.Neural Person Search Machines檢測加識別 論文閱讀筆記
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- 5. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
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- 9. 論文筆記系列-Efficient Neural Architecture Search via Parameter Sharing
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