行人重识别论文spatially and temporally efficient non-local attention network for video-based person re-id
论文 https://arxiv.org/pdf/1908.01683.pdf 代码 https://github.com/jackie840129/STE-NVAN 特点： Resnet50 + Non-Local 采用的数据集Mars 目前，基于视频的reid的最大数据集，应该就是2016年郑良老师开源的Mars(Motion analysis and re-identification se
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相关文章
- 1. 泛读论文：Person-reID 行人重识别合集
- 2. [行人重识别]--ICCV2019-Mixed High-Order Attention Network for Person Re-Identification
- 3. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 4. CVPR2019-行人重识别-Interaction-and-Aggregation Network for Person Re-identification
- 5. ICCV2019-行人重识别-Mixed High-Order Attention Network for Person Re-Identification
- 6. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
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- 8. 【ReID】首届“全国人工智能大赛”（行人重识别 Person ReID 赛项）
- 9. Collaborative Attention Network for Person Re-identification
- 10. [行人重识别]--AAAI2020-Relation Network for Person Re-identification