Batch DropBlock Network for Person Re-identification and Beyond論文閱讀
動機： 依舊是一篇基於part-based的re-id論文，但與其他相比不同的是，這篇文章沒有正面提取local 信息，而是從側面通過結合隨機mask有效信息強化對local特徵的學習。 創新： Batch DropBlock，這個思路和Random Erasing如出一轍，只不過Random Erasing在圖像層面，而Batch DropBlock在特徵層面。既然原理相似，那隻要把Random
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相關文章
- 1. 論文閱讀 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. 【論文閱讀】Batch Feature Erasing for Person Re-identification and Beyond
- 5. 【論文閱讀】Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
- 6. Batch Drop Block Network for Person Re-identification and Beyond
- 7. 1705.IAN- The Individual Aggregation Network for Person Search 論文閱讀筆記
- 8. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 9. 【論文閱讀】Salience-Guided Cascaded Suppression Network for Person Re-identification
- 10. 【論文閱讀】Learning Deconvolution Network for Semantic Segmentation