3 papers
cs.AI2024
A Survey on Multimodal Benchmarks: In the Era of Large AI Models
Lin Li, Guikun Chen, Hanrong Shi +2
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial advancements in artificial intelligence, significantly enhancing the capability to understan…
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.CV2024
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…