Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

In this paper, we propose a novel joint Task-Recursive Learning (TRL) framework for the closing-loop semantic segmentation and monocular depth estimation tasks. TRL can recursively refine the results of both tasks through serialized task-level interactions... (read more)

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