Bi-Directional Cascade Network for Perceptual Edge Detection

CVPR 2019 Jianzhong HeShiliang ZhangMing YangYanhu ShanTiejun Huang

Exploiting multi-scale representations is critical to improve edge detection for objects at different scales. To extract edges at dramatically different scales, we propose a Bi-Directional Cascade Network (BDCN) structure, where an individual layer is supervised by labeled edges at its specific scale, rather than directly applying the same supervision to all CNN outputs... (read more)

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