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Generalized Referring Expression Segmentation

Generalized Referring Expression Segmentation (GRES), introduced by Liu et al in CVPR 2023, allows expressions indicating any number of target objects. GRES takes an image and a referring expression as input, and requires mask prediction of the target object(s).

Papers

Showing 1115 of 15 papers

TitleStatusHype
Instance-Aware Generalized Referring Expression Segmentation0
Bring Adaptive Binding Prototypes to Generalized Referring Expression SegmentationCode0
GROUNDHOG: Grounding Large Language Models to Holistic Segmentation0
Locate then Segment: A Strong Pipeline for Referring Image Segmentation0
MAttNet: Modular Attention Network for Referring Expression ComprehensionCode0
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