STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification
Abstract In this work, we propose a novel Spatial-Temporal Attention (STA) approach to tackle the large-scale person re-identification task in videos. Different from the most existing methods, which s
相关文章
- 1. Harmonious Attention Network for Person Re-Identification
- 2. Collaborative Attention Network for Person Re-identification
- 3. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 4. Attention-Aware Compositional Network for Person Re-identification
- 5. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 6. End-to-end comparative attention networks for person re-identification
- 7. Relation-Aware Global Attention for Person Re-identification（CVPR2020）
- 8. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 9. SYSU-MM01的多模态Re-ID数据集 异构Heterogeneous person reidentification
- 10. Learning Context Graph for Person Search
- 更多相关文章...
- • Swift for 循环 - Swift 教程
- • Scala for循环 - Scala教程
- • Java 8 Stream 教程
- • PHP开发工具
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. Harmonious Attention Network for Person Re-Identification
- 2. Collaborative Attention Network for Person Re-identification
- 3. 1707.Deep Learning for Person Reidentification Using Support Vector Machines 论文笔记
- 4. Attention-Aware Compositional Network for Person Re-identification
- 5. Three-Dimension Transmissible Attention Network for Person Re-Identification
- 6. End-to-end comparative attention networks for person re-identification
- 7. Relation-Aware Global Attention for Person Re-identification（CVPR2020）
- 8. Paper Reading: Attention-Aware Compositional Network for Person Re-identification
- 9. SYSU-MM01的多模态Re-ID数据集 异构Heterogeneous person reidentification
- 10. Learning Context Graph for Person Search