Semantic Segmentation in PyTorch Semantic Segmentation in PyTorch Requirements Main Features Models Datasets Losses Learning rate schedulers Data augmentation Training Inference Code structure Config ...

Deep learning based semantic segmentation solutions have yielded compelling results over the preceding decade. They encompass diverse network architectures (FCN based or attention based), along with ...

Semantic segmentation plays a vital role in the segmentation of remote sensing field for its wide range of applications. The major current method for segmentation of remotely sensed imagery is using ...

Release the full training & evaluation code and model weights. Tutorial on how to apply the Offset Learning paradigm to your own models. Release the jittor version for jittor users. Release the Python ...