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
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Updated
Nov 17, 2022 - Python
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.
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