gIoU: 70.04cIoU: 66.38
Papers with Code · CC BY-SA 4.0
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).
논문
gIoU: 68.79cIoU: 65.69
gIoU: 68.28cIoU: 65.42
gIoU: 56.27cIoU: 55.34
gIoU: 77.67cIoU: 72.00
gIoU: 63.60cIoU: 62.42
gIoU: 66.70
gIoU: 58.40cIoU: 57.64
gIoU: 52.70cIoU: 52.30
gIoU: 48.24cIoU: 47.51
gIoU: 52.00cIoU: 52.51