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The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

lip hrnets cityscapes transformer segmentation pascal-context high-resolution high-resolution-net semantic-segmentation segmentation-transformer

Created 2019-04-09

179 commits to HRNet-OCR branch, last one 3 years ago

semantic-segmentation sithu31296

150

833

mit

16

SOTA Semantic Segmentation Models in PyTorch

ade20k camvid dataset pytorch cityscapes coco-stuff transformer deep-learning pascal-context vision-transformer semantic-segmentation

Created 2021-06-02

98 commits to main branch, last one 6 months ago

ContrastiveSeg tfzhou

86

657

mit

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ICCV2021 (Oral) - Exploring Cross-Image Pixel Contrast for Semantic Segmentation

cityscapes pascal-context pixel-contrast hard-example-mining contrastive-learning semantic-segmentation

Created 2021-01-26

23 commits to main branch, last one about a year ago

TEED xavysp

17

163

mit

2

TEED: Tiny and Efficient Edge Detector

uded biped nyudv2 bsds500 pytorch deep-learning edge-detection pascal-context lightweight-framework

Created 2022-07-02

1,978 commits to main branch, last one 11 months ago