論文閱讀筆記之RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment發表在ICCV2019上，是一篇利用GAN來解決基於RGB-IR的ReID問題的文章。 摘要 夜間行人重識別在視頻監控、安防等領域有着重要的應用，但是該問題卻沒有被很好的解決。這主要是因爲夜間紅外行人圖像和日間彩色行人圖
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相關文章
- 1. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 2. 19ICCV之REeID：RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignm
- 3. 論文筆記之--Joint Detection and Identification Feature Learning for Person Search
- 4. 論文閱讀——Efficient and Robust Feature Selection via Joint L2,1-Norms Minimization
- 5. 1505.Deep Ranking for Person Re-identification via Joint Representation Learning論文筆記
- 6. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 論文筆記
- 7. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 8. 1705.Person Re-Identification by Deep Joint Learning of Multi-Loss Classification 論文閱讀筆記
- 9. 《PIXEL DECONVOLUTIONAL NETWORKS》論文閱讀筆記
- 10. Pose-Guided Feature Alignment for Occluded Person Re-Identification閱讀筆記