【CVPR2020】：High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Ide

时间 2020-12-26

标签行人检测繁體版

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【CVPR2020】：High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identiﬁcation 参考旷视研究院推文【传送门】 Introduction （1）Motivation：遮挡行人重识别（Occluded Person ReID）更具有挑战性： ① 受到遮挡的影响

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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. 论文阅读《Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification》
9. Person search: Joint Detection and Identification Feature Learning for Person Search笔记
10. Relation Network for Person Re-identification笔记

>>更多相关文章<<