hszhao/semseg
A PyTorch library implementing PSPNet and PSANet for semantic segmentation and scene parsing tasks.
Not currently ranked — collecting fresh signals.
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This repository provides a PyTorch implementation for semantic segmentation and scene parsing, featuring state-of-the-art models including PSPNet and PSANet that achieved first place in ImageNet Scene Parsing Challenge 2016, LSUN Semantic Segmentation Challenge 2017, and WAD Drivable Area Segmentation Challenge 2018. The codebase supports training and testing on datasets such as ADE20K, PASCAL VOC 2012, and Cityscapes, using ResNet50/101/152 as backbone architectures with multi-GPU distributed training support.
Frequently asked
- What is hszhao/semseg?
- A PyTorch library implementing PSPNet and PSANet for semantic segmentation and scene parsing tasks.
- Is semseg open source?
- Yes — hszhao/semseg is open source, released under the MIT license.
- What language is semseg written in?
- hszhao/semseg is primarily written in Python.
- How popular is semseg?
- hszhao/semseg has 1.4k stars on GitHub.
- Where can I find semseg?
- hszhao/semseg is on GitHub at https://github.com/hszhao/semseg.