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Learning to Discriminate Scene Structures Makes Self-Supervised Depth Learning Scalable

Read the original at HF Daily Papers

Summary

Researchers propose the MaSS framework to improve self-supervised monocular depth estimation by learning generalized scene structures, enabling consistent benefits from mixed-domain training across diverse datasets.

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