Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
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Efficient-Segmentation-Networks is designed for developers and researchers interested in real-time semantic segmentation in computer vision. It offers a modifiable implementation of various lightweight models, including SQNet, LinkNet, and UNet, among others. The project supports multiple loss functions, optimizers, and activation functions, making it adaptable for different use cases in scene understanding and image segmentation.
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- 1,009
- Forks
- 167
- License
- MIT
- Last commit
- 2 years ago
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Yu Wang
I am a graduate student in CV, my research areas center around computer vision and deep learning
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