Visual Pretraining Enhances Dense Spatial Perception and Depth Estimation
robbyant · hf · 2026-07-07
The paper proposes a visual pretraining method that learns sub-pixel representations via boundary modeling to achieve dense spatial perception, thereby enhancing depth estimation capabilities, which can serve embodied AI applications.
Related event: New Vision Pretraining Method Boosts Dense Spatial Perception(2 posts)→
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