行人屬性--HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis
HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis ICCV2017 https://github.com/xh-liu/HydraPlus-Net 本文首次將 attention idea 應用到 行人屬性分析上來。 行人分析的難度還是比較大，因爲不同場合分析的側重點有所不同，有時需要側重局部信息，有時需要側重全局信息。S
相關文章
- 1. 行人屬性識別：A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
- 2. 行人屬性「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行人屬性識別資料
- 5. 行人屬性「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
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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. 行人屬性「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行人屬性識別資料
- 5. 行人屬性「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