FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation 事件

FoundObj: Self-supervised Foundation Models as Rewards for Label-free 3D Object Segmentation arXiv:2605.27178v1 Announce Type: new Abstract: We address the challenging task of 3D object segmentation in complex scene point clouds without relying on any scene-level human annotations during training. Existing methods are typically constrained to identifying simple objects, primarily due to insufficient object priors in the learning process. In this paper, we present FoundObj, a novel framework fea