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Selection, Not Fusion: Radar-Modulated State Space Models for Radar-Camera Depth Estimation
Radar camera depth estimation turns a very sparse but metric radar signal into a dense depth map. Existing methods combine radar and image features outside the sequence operator of the backbone, through concatenation, confidence gating, sparse supervision, or graph based extraction. Mamba variants f
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