[论文阅读]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification

时间 2020-12-30

标签 person re-id 繁體版

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Learning Discriminative Features with Multiple Granularityfor Person Re-Identification 这篇论文是CVPR2018的文章，作者是上交和云从科技的大牛。是目前为止，在Market-1501数据集上效果最好的方法。单张图片检索（single query）的rank-1达到了95.7%，mAP达到了86.9%；在re-

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1. 论文阅读-《Learning Deep Features for Discriminative Localization》
2. 【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
3. 论文阅读笔记：Learning Deep Features for Discriminative Localization
4. 论文阅读七：《Learning Deep Features for Discriminative Localization》
5. 【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
6. 论文阅读 (十六)：Image Annotation By Multiple-Instance Learning With Discriminative Feature Mapping (MILFM)
7. 论文阅读笔记（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
8. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
9. Learning Deep Features for Discriminative Localization论文笔记
10. 论文笔记：Learning Deep Features for Discriminative Localization
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1. 论文阅读-《Learning Deep Features for Discriminative Localization》
2. 【ReID】Learning Discriminative Features with Multiple Granularities for Person Re-identification
3. 论文阅读笔记：Learning Deep Features for Discriminative Localization
4. 论文阅读七：《Learning Deep Features for Discriminative Localization》
5. 【论文阅读】 Patch-based Discriminative Feature Learning for Unsupervised Person Re-identification
6. 论文阅读 (十六)：Image Annotation By Multiple-Instance Learning With Discriminative Feature Mapping (MILFM)
7. 论文阅读笔记（四十）：Learning Spatiotemporal Features with 3D Convolutional Networks（C3D）
8. 【Person Re-ID】Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
9. Learning Deep Features for Discriminative Localization论文笔记
10. 论文笔记：Learning Deep Features for Discriminative Localization

>>更多相关文章<<