Patch Policy: Efficient Embodied Control via Dense Visual Representations
By Gaoyue Zhou · Paper · cs.RO
Pretrained dense visual features from Vision Transformers (ViTs) are powerful yet have been underutilized in robot learning. Modern robot policies either compress each observation into a single global token, or rely on visual backbones trained from scratch, sacrificing both fine-