2 papers
cs.CV2026
LEAP: Layer-skipping Efficiency via Adaptive Progression for Vision Transformer Distillation
Jiaqi Zhang, Ashton Lee, Anthony Wong +3
Vision Foundation Models (VFMs) with Vision Transformer (ViT) backbones, such as DINOv2, have become essential for downstream tasks like object recognition and semantic segmentatio…
cs.SE2025
stable-pretraining-v1: Foundation Model Research Made Simple
Randall Balestriero, Hugues Van Assel, Sami BuGhanem +1
Foundation models and self-supervised learning (SSL) have become central to modern AI, yet research in this area remains hindered by complex codebases, redundant re-implementations…