行人屬性「Person Attribute Recognition with a Jointly-trained Holistic CNN Model」
不考慮人體姿態，part及上下文信息，僅使用圖像作爲輸入，訓練CNN進行所有屬性的預測。另外，提出了N/A標記，即對目標的屬性不確定。如下圖的人向左走，就無法確定其右手是否帶包。 人體屬性一般是二值的語義，如（ is male? wears a tshirt? carries a bag in the left hand?），或者多項輸出（orientation - left, right, fr
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相關文章
- 1. 行人屬性「Contextual Action Recognition with R*CNN」
- 2. 行人屬性識別：Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute……
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- 4. 行人屬性識別：A Temporal Attentive Approach for Video-Based Pedestrian Attribute Recognition
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- 7. 行人屬性「Generative Adversarial Models for People Attribute Recognition in Surveillance」
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- 9. 行人屬性「Attribute Recognition by Joint Recurrent Learning of Context and Correlation」
- 10. Mix and Match: Joint Model for Clothing and Attribute Recognition