5 citations · 18 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation
Xingchen Li, Long Chen, Wenbo Ma +2
Recently, increasing efforts have been focused on Weakly Supervised Scene Graph Generation (WSSGG). The mainstream solution for WSSGG typically follows the same pipeline: they firs…
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…
Rethinking Multi-Modal Alignment in Video Question Answering from Feature and Sample Perspectives
Shaoning Xiao, Long Chen, Kaifeng Gao +4
Reasoning about causal and temporal event relations in videos is a new destination of Video Question Answering (VideoQA).The major stumbling block to achieve this purpose is the se…