EANet: Enhancing Alignment for Cross-Domain Person Re-identification閱讀筆記
EANet: Enhancing Alignment for Cross-Domain Person Re-identification閱讀筆記 code: github 作者原文介紹：知乎 做了什麼？ 即PCB這種直接切塊不行，如a中間那個直接有兩塊背景拿去做分類，當然不合理了（但其實PCB切的是特徵圖，不是原圖，而原圖下采樣到特徵圖時已具有一定的感受野。因此切的塊其實也還是有全局信息的）。於是作
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相關文章
- 1. 【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
- 2. EANet: Enhancing Alignment for Cross-Domain Person Re-identification
- 3. Pose-Guided Feature Alignment for Occluded Person Re-Identification閱讀筆記
- 4. Deeply-Learned Spatial Alignment for Person Re-Identification 論文閱讀記錄
- 5. 論文閱讀《Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification》
- 6. CVPR 2017 Enhancing Detection Model for Multiple Hypothesis Tracking 閱讀筆記
- 7. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval 論文閱讀筆記
- 8. 閱讀筆記（ECCV2016）SEAGULL:Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching
- 9. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》論文閱讀筆記
- 10. 論文閱讀筆記之RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment