arXiv cs.CV
· Papers
Suppress and Diversify: Refining Robust Pathways for Corruption Robustness
arXiv:2608.06712v1 Announce Type: new Abstract: Model robustness against natural image corruptions is essential for safety-critical applications. While existing methods primarily focus on implicit representation learning, we provide the first systematic exploration of computational pathways to explicitly characterize i