Cross-task Attention Mechanism for Dense Multi-task Learning
Cross-task Attention Mechanism for Dense Multi-task Learning
Multi-task learning has recently become a promising solution for comprehensive understanding of complex scenes. With an appropriate design, multi-task models can not only be memory-efficient but also favour the exchange of complementary signals across tasks. In this work, we jointly address 2D semantic segmentation, and two geometry-related tasks, namely dense …