3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding

This paper addresses multi-task learning (MTL) for dense scene understanding by introducing a lightweight cross-view module that captures 3D-aware correlations across views. The method injects geometric consistency into the MTL encoders and improves dense prediction performance on challenging MTL benchmarks.

arXiv