Possible Worlds Visual Question Answering
A novel causal framework that simultaneously reduces language and vision biases in VQA systems. Our method achieves 2x accuracy improvement on numerical questions while maintaining robust multimodal reasoning.
2×
Numerical Accuracy
SOTA
VQA-CP v2
5+
Backbones
Authors: Ali Vosoughi*, Shijian Deng*, Songyang Zhang, Yapeng Tian, Chenliang Xu, Jiebo Luo
*Equal contribution
IEEE Transactions on Multimedia, 2024