Multitask-SegFormer-Network-with-Attention

A Multi-task deep learning model for simultaneous semantic segmentation and depth estimation on the Cityscapes dataset. Leveraged attention mechanisms to dynamically share features across tasks, enhancing spatial context understanding and improving model efficiency for urban scene analysis.