A semantic segmentation network that uses a learned shape mask to aggregate context from semantic-correlated regions, plus a labeling denoising module, reports state-of-the-art performance on six benchmarks.
Breuel, Federico Raue, and Marcus Liwicki
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Semantic Correlation Promoted Shape-Variant Context for Segmentation
A semantic segmentation network that uses a learned shape mask to aggregate context from semantic-correlated regions, plus a labeling denoising module, reports state-of-the-art performance on six benchmarks.