computer-vision-14
Generalized Referring Expression Segmentation
3260 papers • 126 benchmarks • 313 datasets
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).
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in generalized-referring-expression-segmentation-14
Trend
Dataset
Best Model
Actions
gRefCOCO
gRefCOCO
Libraries
iUse these libraries to find generalized-referring-expression-segmentation-14 models and implementations
Datasets
Subtasks
No subtasks available.