Spatial-Aware Non-Local Attention for Fashion Landmark Detection

11 Mar 2019 Yixin Li Shengqin Tang Yun Ye Jinwen Ma

Fashion landmark detection is a challenging task even using the current deep learning techniques, due to the large variation and non-rigid deformation of clothes. In order to tackle these problems, we propose Spatial-Aware Non-Local (SANL) block, an attentive module in deep neural network which can utilize spatial information while capturing global dependency... (read more)

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