【CVPR2020】：High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Ide
【CVPR2020】：High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification 參考曠視研究院推文【傳送門】 Introduction （1）Motivation： 遮擋行人重識別（Occluded Person ReID）更具有挑戰性： ① 受到遮擋的影響
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相關文章
- 1. Relation-Aware Global Attention for Person Re-identification（CVPR2020）
- 2. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 3. Joint Discriminative and Generative Learning for Person Re-identification
- 4. Learning Contextual and Attentive Information for Brain Tumor Segmentation
- 5. Deep Learning for Information Retrieval
- 6. Learning Context Graph for Person Search
- 7. Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
- 8. 論文閱讀《Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification》
- 9. Person search: Joint Detection and Identification Feature Learning for Person Search筆記
- 10. Relation Network for Person Re-identification筆記