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

SOTA Semantic Segmentation Models in PyTorch

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

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

TEED: Tiny and Efficient Edge Detector

[SAIN'18] [Caffe] A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation

Processing deep-learning datasets (i.e. coco, pascal voc, cityscapes, pascal context)

A pytorch implementation of Flattenet.