Gated Shape CNN (GSCNN) is a semantic segmentation architecture that incorporates shape information through gated convolutions. It achieves state-of-the-art results on segmentation benchmarks by jointly learning class predictions and boundary detection. The model is implemented in PyTorch and was developed by NVIDIA’s Toronto AI Lab.