no code implementations • 29 Nov 2023 • Zeqing Wang, Wentao Wan, Qiqing Lao, Runmeng Chen, Minjie Lang, Keze Wang, Liang Lin
Through this collaboration mechanism, our framework explicitly constructs an MVKB for a specific visual scene and reasons answers in a top-down reasoning process.
no code implementations • 18 Sep 2023 • Wentao Wan, Nan Kang, Zeqing Wang, Zhuojie Yang, Liang Lin, Keze Wang
Specifically, our CLVP distills the capabilities of well-trained task-specific models into the visual sub-modules in a stepwise and anti-forgetting manner.
no code implementations • ICCV 2021 • Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin
The experimental results show that our proposed method can improve current VQA models on OOD split without losing performance on the in-domain test data.