William Robson Schwartz

VESSA: Video-based objEct-centric Self-Supervised Adaptation for Visual Foundation Models

Foundation models have advanced computer vision by enabling strong performance across diverse tasks through large-scale pretraining and supervised fine-tuning. However, they may underperform in domains with distribution shifts and scarce labels, where supervised fine-tuning may be infeasible. While…