A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
论文：http://xxx.itp.ac.cn/abs/1901.05742 代码：https://github.com/yuange250/video_pedestrian_attributes_recognition 1 综述 本文是基于视频的方法进行行人属性识别的，所谓的视频方法就是基于同一运动目标的序列输入图像，这在实际的业务场景中是很有必要的。因为，基于单张图像进行行人属性分析的模型高度
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相关文章
- 1. 行人属性识别：A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
- 2. Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition
- 3. Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning
- 4. [笔记] Pedestrian Attribute Recognition Dataset Summary
- 5. A multi-branch separable convolution neural network for pedestrian attribute recognition
- 6. [论文复现]A Richly Annotated Dataset for Pedestrian Attribute Recognition
- 7. 行人属性“Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios”
- 8. A Discriminative Feature Learning Approach for Deep Face Recognition
- 9. Pose Guided Deep Model for Pedestrian Attribute Recognition in Surveillance Scenarios
- 10. Attribute-Recognition行人属性识别资料