2026
Scale-Invariant and View-Relational Representation Learning for Full Surround Monocular Depth
RA-L 2026
Recent foundation models demonstrate strong generalization capabilities in monocular depth estimation. However, directly applying these models to Full Surround Monocular Depth Estimation (FSMDE) presents two major challenges: (1) high computational cost, which limits real-time performance, and (2) d