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AutoAD: Movie Description in Context

CVPR 2023 · Vision-language and multimodal › Human and embodied modeling · approach: Scene graph generation · 41 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use multiple frames rather than one frame (ablation)AutoAD · MAD-eval-NamedCIDEr: 4.0 -> 6.7Helped
Add previous AD context (ablation)AutoAD · MAD-eval-NamedCIDEr: 6.7 -> 12.6Helped
Add AudioVault-AD text-only pretraining (ablation)AutoAD with recurrent AD context · MAD-eval-NamedCIDEr: 12.6 -> 14.1Helped
Add WebVid visual pretraining after AudioVault-AD pretraining (ablation)AutoAD · MAD-eval-Named, oracle contextCIDEr: 19.0 -> 21.9Helped
Add full subtitle context (ablation)AutoAD with visual and previous-AD context · MAD-eval-NamedCIDEr: 14.3 -> 13.3Hurt
Filter subtitle context to character names (ablation)AutoAD with visual and previous-AD context · MAD-eval-NamedCIDEr: 13.3 -> 14.2Helped
Train on denoised MAD-v2 instead of MAD-v1 (ablation)AutoAD · MAD-eval-NamedCIDEr: 17.0 -> 17.8Helped
Use raw AD text tokens rather than mapped language features for context (ablation)AutoAD · MAD-eval-NamedCIDEr: about 8.0 -> 12.6Helped
Add LSMDC training data to AutoAD trained on MAD-v2 Unnamed (ablation)AutoAD · LSMDC 2019 Multi-Sentence Description public testCIDEr: 16.7 -> 17.5Helped
Use AutoAD rather than ClipCap for movie AD generationMovie AD generation · MAD-eval-NamedCIDEr: 4.4 -> 14.1Helped
Use AutoAD rather than CapDec with AudioVault-AD pretrainingMovie AD generation · MAD-eval-NamedCIDEr: 6.7 -> 14.1Helped

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