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Deeplab Semantic Image Segmentation With Deep
Found 2 free book(s)![Abstract arXiv:2107.06278v2 [cs.CV] 31 Oct 2021](/cache/preview/d/0/3/c/1/4/1/b/thumb-d03c141b31b29476ec074e3c5409c25c.jpg)
Abstract arXiv:2107.06278v2 [cs.CV] 31 Oct 2021
arxiv.orgThe goal of semantic segmentation is to partition an image into regions with different semantic categories. Starting from Fully Convolutional Networks (FCNs) work of Long et al. [30], most deep learning-based semantic segmentation approaches formulate semantic segmentation as …
Semi-Supervised Semantic Segmentation With Directional ...
openaccess.thecvf.comSegmentation networks can not predict a label for each pixel merely based on its RGB values. Therefore, the con-textual information is essential for semantic segmentation. Iconic models (e.g., DeepLab [7] and PSPNet [60]) have also shown satisfying performance by adequately aggregat-ing the contextual cues to individual pixels before making