Self-supervised semantic segmentation is a crucial approach for addressing the issue of insufficient labeled data. However, traditional self-supervised learning methods designed for natural images are ...

With the advancement of deep learning in Connected Autonomous Vehicles (CAVs), real-time semantic segmentation has emerged as a crucial task. The integration of semantic segmentation vision ...

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