no code implementations • CVPR 2019 • Quanlong Zheng, Xiaotian Qiao, Ying Cao, Rynson W.H. Lau
In this paper, we propose a Distraction-aware Shadow Detection Network (DSDNet) by explicitly learning and integrating the semantics of visual distraction regions in an end-to-end framework.
Ranked #2 on Shadow Detection on SBU
no code implementations • ECCV 2018 • Quanlong Zheng, Jianbo Jiao, Ying Cao, Rynson W. H. Lau
Inspired by the observation that given a specific task, human attention is strongly correlated with certain semantic components on a webpage (e. g., images, buttons and input boxes), our network explicitly disentangles saliency prediction into two independent sub-tasks: task-specific attention shift prediction and task-free saliency prediction.