SRN: Side-Output Residual Network for Object Reflection Symmetry Detection and Beyond

  title={SRN: Side-Output Residual Network for Object Reflection Symmetry Detection and Beyond},
  author={Wei Ke and Jie Chen and Jianbin Jiao and Guoying Zhao and Qixiang Ye},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  • Wei KeJie Chen Qixiang Ye
  • Published 17 July 2018
  • Computer Science
  • IEEE Transactions on Neural Networks and Learning Systems
This article establishes a baseline for object reflection symmetry detection in natural images by releasing a new benchmark named Sym-PASCAL and proposing an end-to-end deep learning approach for reflection symmetry. Sym-PASCAL spans challenges of multiobjects, object diversity, part invisibility, and clustered backgrounds, which is far beyond those in existing data sets. The end-to-end deep learning approach, referred to as a side-output residual network (SRN), leverages the output residual… 
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