EANet: Enhancing Alignment for Cross-Domain Person Re-identification阅读笔记
EANet: Enhancing Alignment for Cross-Domain Person Re-identification阅读笔记 code: github 作者原文介绍：知乎 做了什么？ 即PCB这种直接切块不行，如a中间那个直接有两块背景拿去做分类，当然不合理了（但其实PCB切的是特征图，不是原图，而原图下采样到特征图时已具有一定的感受野。因此切的块其实也还是有全局信息的）。于是作
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相关文章
- 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阅读笔记
- 4. Deeply-Learned Spatial Alignment for Person Re-Identification 论文阅读记录
- 5. 论文阅读《Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification》
- 6. CVPR 2017 Enhancing Detection Model for Multiple Hypothesis Tracking 阅读笔记
- 7. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval 论文阅读笔记
- 8. 阅读笔记（ECCV2016）SEAGULL:Seam-Guided Local Alignment for Parallax-Tolerant Image Stitching
- 9. 《Learning Deep Representation for Face Alignment with Auxiliary Attributes》论文阅读笔记
- 10. 论文阅读笔记之RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment