EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

@article{Liu2020EfficientFCNHD,
  title={EfficientFCN: Holistically-guided Decoding for Semantic Segmentation},
  author={Jianbo Liu and Junjun He and Jiawei Zhang and Jimmy S. J. Ren and Hongsheng Li},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.10487}
}
Both performance and efficiency are important to semantic segmentation. State-of-the-art semantic segmentation algorithms are mostly based on dilated Fully Convolutional Networks (dilatedFCN), which adopt dilated convolutions in the backbone networks to extract high-resolution feature maps for achieving high-performance segmentation performance. However, due to many convolution operations are conducted on the high-resolution feature maps, such dilatedFCN-based methods result in large… 

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