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A pretrained PyTorch implementation of the DeepLabV3 and DeepLabV3+ semantic segmentation models for Pascal VOC and Cityscapes datasets.
A collection of scripts and utilities for the Cityscapes Dataset, a popular dataset for computer vision tasks.
A powerful universal image segmentation model that can handle various segmentation tasks with a single transformer-based model.
CCNet is a semantic segmentation library that uses Criss-Cross Attention to improve scene parsing performance.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
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