論文閱讀 Batch DropBlock Network for Person Re-identification and Beyond
Batch DropBlock Network for Person Re-identification and Beyond 摘要 重識別問題的難點主要在於姿態的多變，隨機遮擋等會降低模型的精度，本文提出了一個BDB的網絡，主要有兩個分支，一個是主分支是resnet50網絡，另一個是drop分支。Drop分支主要是爲了抽取局部關注點信息，隨機的去除batch中輸入feature ma
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相關文章
- 1. Batch DropBlock Network for Person Re-identification and Beyond論文閱讀
- 2. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
- 3. Batch DropBlock Network for Person Re-identification and Beyond
- 4. 【論文閱讀】Batch Feature Erasing for Person Re-identification and Beyond
- 5. Batch Drop Block Network for Person Re-identification and Beyond
- 6. 【論文閱讀】Cross-Resolution Adversarial Dual 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