Efficient Segment Anything with Depth-Aware Fusion and Limited Training Data

Yiming Zhou, Xuenjie Xie, Panfeng Li +3

Segment Anything Models (SAM) achieve impressive universal segmentation performance but require massive datasets (e.g., 11M images) and rely solely on RGB inputs. Recent efficient…