Relation-Aware Global Attention for Person Re-identification（CVPR2020）
论文阅读笔记（四十五）【CVPR2020、AAAI2020】：Relation Feature 的应用 Relation-Aware Global Attention for Person Re-identification（CVPR2020） 本文主要提出了一个Relation-Aware Global Attention（RGA）模块，该模块可以提取空间上不同区域之间的关系向量，从而每个区域的特
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相关文章
- 1. Harmonious Attention Network for Person Re-Identification
- 2. Collaborative Attention Network for Person Re-identification
- 3. CVPR2020《Exploring Self-attention for Image Recognition》
- 4. Squeeze-and-Attention Networks for Semantic Segmentation | CVPR2020
- 5. Attention-Aware Compositional Network for Person Re-identification
- 6. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 7. [CVPR2020]Attention-Guided Hierarchical Structure Aggregation for Image Matting
- 8. [论文笔记 CVPR2020]Attention Scaling for Crowd Counting
- 9. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 10. End-to-end comparative attention networks for person re-identification