17 citations · 45 across the 13 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
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…
cs.CV2022★ 5 cited
The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation
Lin Li, Long Chen, Yifeng Huang +3
Unbiased SGG has achieved significant progress over recent years. However, almost all existing SGG models have overlooked the ground-truth annotation qualities of prevailing SGG da…