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A collection of PyTorch image encoders/backbones with training, evaluation, and inference scripts.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Classification models trained on ImageNet, for use in computer vision and image classification tasks.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
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