arXiv (Cornell University)· 2017· Preprint
Rethinking Atrous Convolution for Semantic Image Segmentation
- 7,457citations
- 2017year
Short summary
DeepLabv3 introduces a novel system for semantic image segmentation that captures multi-scale context using cascaded or parallel atrous convolutions with multiple rates, and enhances it with image-level global context features.
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Computer Vision and Pattern RecognitionComputer Science