Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation 事件

Seg2Track++: Probabilistic Track Validation and Data Association for Multi-Object Tracking and Segmentation arXiv:2606.03875v1 Announce Type: new Abstract: Autonomous systems require robust Multi-Object Tracking and Segmentation (MOTS) to operate reliably in dynamic environments, ensuring consistent object identities and precise mask-level delineation. Foundation models such as SAM2 have shown strong zero-shot generalization for segmentation, but their direct application to MOTS is limited by u