行人属性--HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis ICCV2017 https://github.com/xh-liu/HydraPlus-Net 本文首次将 attention idea 应用到 行人属性分析上来。 行人分析的难度还是比较大，因为不同场合分析的侧重点有所不同，有时需要侧重局部信息，有时需要侧重全局信息。S
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- 1. 行人属性识别：A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
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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. 行人属性“Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Loca”
- 3. A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
- 4. Attribute-Recognition行人属性识别资料
- 5. 行人属性“Multi-attribute Learning for Pedestrian Attribute Recognition in Surveillance Scenarios”
- 6. 「Medical Image Analysis」Note on Deep Attentional Features
- 7. Pushing the Limits of Deep CNNs for Pedestrian Detection
- 8. Attention-Based Pedestrian Attribute Analysis
- 9. Learning Cross-Modal Deep Representations for Robust Pedestrian Detection
- 10. Learning Deep Features for Discriminative Localization