Shuo-Yuan Xu

Depth Refinement with Sparse Geometry for Agricultural and Forest Scenes

Deep learning-based depth estimation methods are widely studied and increasingly used in practice. They work well when test data resemble the training data, but their accuracy degrades in natural environments, such as forest and agricultural scenes, limiting their direct use for dense 3D maps in these settings. We addr...