Journal Article10.1080/09540091.2020.1862059
Aggregating multi-scale contextual features from multiple stages for semantic image segmentation
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TL;DR: This paper proposes a multi-scale context U-net (MSCU-net) for semantic image segmentation that significantly outperforms other state-of-the-art methods on both the PASCAL VOC 2012 and Cityscapes datasets.
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Abstract: Semantic segmentation plays a vital role in image understanding. Recent studies have attempted to achieve precise pixel-level classification by using deep networks that provide hierarchical feature...
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