DDNet: Dual-path Decoder Network for Occlusion Relationship Reasoning. (arXiv:1911.11582v3 [cs.CV] UPDATED)

Occlusion relationship reasoning based on convolution neural networks
consists of two subtasks: occlusion boundary extraction and occlusion
orientation inference. Due to the essential differences between the two
subtasks in the feature expression at the higher and lower stages, it is
challenging to carry on them simultaneously in one network. To address this
issue, we propose a novel Dual-path Decoder Network, which uniformly extracts
occlusion information at higher stages and separates into two paths to recover
boundary and occlusion orientation respectively …

arxiv cv network path reasoning relationship