Batch DropBlock Network for Person Re-identification and Beyond论文阅读
动机： 依旧是一篇基于part-based的re-id论文，但与其他相比不同的是，这篇文章没有正面提取local 信息，而是从侧面通过结合随机mask有效信息强化对local特征的学习。 创新： Batch DropBlock，这个思路和Random Erasing如出一辙，只不过Random Erasing在图像层面，而Batch DropBlock在特征层面。既然原理相似，那只要把Random
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相关文章
- 1. 论文阅读 Batch DropBlock Network for Person Re-identification and Beyond
- 2. Batch DropBlock Network for Person Re-identification and Beyond
- 3. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
- 4. 【论文阅读】Batch Feature Erasing for Person Re-identification and Beyond
- 5. 【论文阅读】Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
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- 7. 1705.IAN- The Individual Aggregation Network for Person Search 论文阅读笔记
- 8. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 9. 【论文阅读】Salience-Guided Cascaded Suppression Network for Person Re-identification
- 10. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation