The Dialog Must Go On: Improving Visual Dialog via Generative
Self-Training

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The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training

25 May 2022

Byoung-Tak Zhang

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Papers citing "The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"

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Title
From Text to Multimodal: A Comprehensive Survey of Adversarial Example Generation in Question Answering Systems Gulsum Yigit M. Amasyalı AAML 64 0 0 26 Dec 2023
InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models Bingbing Wen Zhengyuan Yang Jianfeng Wang Zhe Gan Bill Howe Lijuan Wang MLLM 64 1 0 21 Dec 2023
$$\mathbb{VD}$-$\mathbb{GR}$: Boosting $\mathbb{V}$isual $\mathbb{D}$ialog with Cascaded Spatial-Temporal Multi-Modal $\mathbb{GR}$aphs$ $\mathbb{VD}$ - $\mathbb{GR}$ : Boosting $\mathbb{V}$ isual $\mathbb{D}$ ialog with Cascaded Spatial-Temporal Multi-Modal $\mathbb{GR}$ aphs Adnen Abdessaied Lei Shi Andreas Bulling 3DH 58 4 0 25 Oct 2023
PROGrasp: Pragmatic Human-Robot Communication for Object Grasping Gi-Cheon Kang Junghyun Kim Jaein Kim Byoung-Tak Zhang 105 5 0 14 Sep 2023