• DOI:10.1109/CVPR.2019.00536
Corpus ID: 70349904

CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning

@article{Zhang2019CANetCS,
  title={CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning},
  author={Chi Zhang and Guosheng Lin and Fayao Liu and Rui Yao and Chunhua Shen},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={5212-5221}
}

Chi Zhang, Guosheng Lin, +2 authors Chunhua Shen

Published 2019

Computer Science

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Recent progress in semantic segmentation is driven by deep Convolutional Neural Networks and large-scale labeled image datasets. [...] Key Method Our network consists of a two-branch dense comparison module which performs multi-level feature comparison between the support image and the query image, and an iterative optimization module which iteratively refines the predicted results.Expand Abstract

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