Mixed High-Order Attention Network for Person Re-Identification摘要
Mixed High-Order Attention Network for Person Re-Identification 針對問題：局部特徵 新穎點： 不同於以往channel-wise和position-wise的注意力機制，作者提出了High-Order Attention module可以利用複雜的高階統計信息，捕捉細微差別 在MHN中作者採用了不同階數的HOA模塊，並引入了對抗約束防止
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相關文章
- 1. [行人重識別]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 2. ICCV2019-行人重識別-Mixed High-Order Attention Network for Person Re-Identification
- 3. Collaborative Attention Network for Person Re-identification
- 4. Harmonious Attention Network for Person Re-Identification
- 5. Triple Attention Mixed Link Network for Single Image Super Resolution
- 6. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 7. Attention-Aware Compositional Network for Person Re-identification
- 8. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 9. Residual attention network for image classification
- 10. Residual Attention Network for Image Classification