Learnable Shape Prototypes with Occlusion-Geometry-Guided Injection for Amodal Instance Segmentation 事件

Learnable Shape Prototypes with Occlusion-Geometry-Guided Injection for Amodal Instance Segmentation arXiv:2605.24533v1 Announce Type: new Abstract: Amodal instance segmentation aims to predict the complete object mask including occluded regions that lack pixel-level observations and must be inferred with the aid of shape priors. Existing methods acquire shape priors through fixed-capacity encoding spaces or expensive generative models, and inject them uniformly across all spatial positions wit