行人屬性「Human Attribute Recognition by Deep Hierarchical Contexts」
還是使用poselet檢測到的part與行人整體結合，提取深度特徵進行行人屬性識別。此外，使用human-centric和scene-centric的上下文信息提升性能。human-centric上下文使用cnn特徵最近鄰計算其他行人part的相似度，捕獲行人相互關係。場景上下文信息，使用全局場景分類得分對human-centric的預測結果進行重新打分。 思路來源：如下圖所示，由於遮擋和低圖像質
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