5 citations · 9 across the 4 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2024
From Easy to Hard: Learning Curricular Shape-aware Features for Robust Panoptic Scene Graph Generation
Hanrong Shi, Lin Li, Jun Xiao +2
Panoptic Scene Graph Generation (PSG) aims to generate a comprehensive graph-structure representation based on panoptic segmentation masks. Despite remarkable progress in PSG, almo…
cs.CV2022★ 3 cited
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
Lin Li, Long Chen, Hanrong Shi +4
The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over th…
cs.CV2022★ 5 cited
NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation
Lin Li, Jun Xiao, Hanrong Shi +4
Nearly all existing scene graph generation (SGG) models have overlooked the ground-truth annotation qualities of mainstream SGG datasets, i.e., they assume: 1) all the manually ann…