xiaoyufenfei/Efficient-Segmentation-Networks
A collection of lightweight PyTorch models for real-time semantic segmentation in images.
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This repository provides reference implementations of various neural network architectures for semantic segmentation, including SegNet, UNet, ENet, ERFNet, ESPNet, and others. The models are designed for real-time inference and target applications like autonomous driving and scene understanding. Built entirely on PyTorch, it offers easy-to-use and modifiable code for training and evaluation.
Frequently asked
- What is xiaoyufenfei/Efficient-Segmentation-Networks?
- A collection of lightweight PyTorch models for real-time semantic segmentation in images.
- Is Efficient-Segmentation-Networks open source?
- Yes — xiaoyufenfei/Efficient-Segmentation-Networks is open source, released under the MIT license.
- What language is Efficient-Segmentation-Networks written in?
- xiaoyufenfei/Efficient-Segmentation-Networks is primarily written in Python.
- How popular is Efficient-Segmentation-Networks?
- xiaoyufenfei/Efficient-Segmentation-Networks has 1k stars on GitHub.
- Where can I find Efficient-Segmentation-Networks?
- xiaoyufenfei/Efficient-Segmentation-Networks is on GitHub at https://github.com/xiaoyufenfei/Efficient-Segmentation-Networks.