U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection

@article{Qin2020U2NetGD,
  title={U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection},
  author={Xuebin Qin and Zichen Zhang and Chenyang Huang and Masood Dehghan and Osmar R. Za{\"i}ane and Martin J{\"a}gersand},
  journal={Pattern Recognit.},
  year={2020},
  volume={106},
  pages={107404}
}
Abstract In this paper, we design a simple yet powerful deep network architecture, U2-Net, for salient object detection (SOD). The architecture of our U2-Net is a two-level nested U-structure. The design has the following advantages: (1) it is able to capture more contextual information from different scales thanks to the mixture of receptive fields of different sizes in our proposed ReSidual U-blocks (RSU), (2) it increases the depth of the whole architecture without significantly increasing… Expand
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