BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors 事件

BED-SAM2: Boundary-Enhanced-Depth SAM2 via Monocular Geometric Priors arXiv:2605.24893v1 Announce Type: new Abstract: Building upon the SAM2 vision foundation model for downstream segmentation, this study introduces Boundary Enhanced Depth (BED)-SAM2. The SAM2 Hiera encoder architecture is modified to directly encode monocular depth information from RGB images, thereby providing geometric cues that enhance object boundary delineation and facilitate the extraction of camouflaged object shapes. B