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Research map / Vision-language and multimodal / Visual question answering

Visual Dialog

CVPR 2017 · Vision-language and multimodal › Visual question answering · approach: Visual reasoning diagnostics · 486 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a discriminative rather than generative decoderVisDial models · VisDial v0.9MRRHelped
Add image input to the question-only Late Fusion model (ablation)LF-Q-G · VisDial v0.9MRR: 0.5048 -> 0.5204Helped
Add history to question-only Late Fusion model (ablation)LF-Q-G · VisDial v0.9MRR: 0.5048 -> 0.5055No clear effect
Add history to image-and-question Late Fusion model (ablation)LF-QI-G · VisDial v0.9MRR: 0.5204 -> 0.5199Hurt
Add image input to the question-and-history Late Fusion model (ablation)LF-QH-G · VisDial v0.9MRR: 0.5055 -> 0.5199Helped
Add image input to the question-and-history HRE model (ablation)HRE-QH-G · VisDial v0.9MRR: 0.5102 -> 0.5237Helped
Add attention over history (ablation)HRE-QIH-G · VisDial v0.9MRR: 0.5237 -> 0.5242No clear effect
Add image input to the question-and-history Memory Network (ablation)MN-QH-G · VisDial v0.9MRR: 0.5115 -> 0.5259Helped
Add image input to the question-only Late Fusion model (ablation)LF-Q-D · VisDial v0.9MRR: 0.5508 -> 0.5759Helped
Add history to question-only Late Fusion model (ablation)LF-Q-D · VisDial v0.9MRR: 0.5508 -> 0.5578Helped
Add history to image-and-question Late Fusion model (ablation)LF-QI-D · VisDial v0.9MRR: 0.5759 -> 0.5807Helped
Add image input to the question-and-history Late Fusion model (ablation)LF-QH-D · VisDial v0.9MRR: 0.5578 -> 0.5807Helped

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