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GSVA: Generalized Segmentation via Multimodal Large Language ModelsGeneralized Referring Expression Segmentation (GRES) extends the scope of classic RES to refer to multiple objects in one expression or identify the empty targets absent in the image. GRES poses challenges in modeling the complex spatial relationships of tarxiv.orgAuthor: Xia, Zhuofan, et al.Journal: CVPR 20204Published Date: 202..

Bring Adaptive Binding Prototypes to Generalized Referring Expression SegmentationReferring Expression Segmentation (RES) has attracted rising attention, aiming to identify and segment objects based on natural language expressions. While substantial progress has been made in RES, the emergence of Generalized Referring Expression Segmentarxiv.orgAuthor : Li, Weize, et al.Journal : IEEE Transactio..

GRES: Generalized Referring Expression SegmentationReferring Expression Segmentation (RES) aims to generate a segmentation mask for the object described by a given language expression. Existing classic RES datasets and methods commonly support single-target expressions only, i.e., one expression refers toarxiv.orgAuthor : Liu, Chang, Henghui Ding, and Xudong Jiang.Journal : CVPR 2023Keyword : Re..