openseg-group/openseg.pytorch
PyTorch implementation of OCNet, OCRNet, and SegFix for semantic segmentation on datasets like COCO Stuff, PASCAL Context, ADE20K, LIP, and Cityscapes.
Not currently ranked — collecting fresh signals.
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This repository provides the official PyTorch implementation of object context-based segmentation methods including OCNet (Object Context Network), OCRNet (Object-Context Representation), and SegFix. These are deep learning models for semantic segmentation tasks, achieving state-of-the-art results on multiple benchmarks. The models learn to segment images by leveraging object-level context information to improve pixel-level classification accuracy.
Frequently asked
- What is openseg-group/openseg.pytorch?
- PyTorch implementation of OCNet, OCRNet, and SegFix for semantic segmentation on datasets like COCO Stuff, PASCAL Context, ADE20K, LIP, and Cityscapes.
- Is openseg.pytorch open source?
- Yes — openseg-group/openseg.pytorch is open source, released under the MIT license.
- What language is openseg.pytorch written in?
- openseg-group/openseg.pytorch is primarily written in Python.
- How popular is openseg.pytorch?
- openseg-group/openseg.pytorch has 1.2k stars on GitHub.
- Where can I find openseg.pytorch?
- openseg-group/openseg.pytorch is on GitHub at https://github.com/openseg-group/openseg.pytorch.