A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
論文：http://xxx.itp.ac.cn/abs/1901.05742 代碼：https://github.com/yuange250/video_pedestrian_attributes_recognition 1 綜述 本文是基於視頻的方法進行行人屬性識別的，所謂的視頻方法就是基於同一運動目標的序列輸入圖像，這在實際的業務場景中是很有必要的。因爲，基於單張圖像進行行人屬性分析的模型高度
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相關文章
- 1. 行人屬性識別：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. [筆記] Pedestrian Attribute Recognition Dataset Summary
- 5. A multi-branch separable convolution neural network for pedestrian attribute recognition
- 6. [論文復現]A Richly Annotated Dataset for Pedestrian Attribute Recognition
- 7. 行人屬性「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行人屬性識別資料