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Research map / Vision-language and multimodal / Human and embodied modeling

Unsupervised Image Captioning

CVPR 2019 · Vision-language and multimodal › Human and embodied modeling · approach: Neural image captioning · 231 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add the initialization pipeline (ablation)Unsupervised image captioning model · MSCOCO test splitCIDEr: 22.9 -> 28.6Helped
Add the initialization pipeline (ablation)Unsupervised image captioning model · MSCOCO test split, unpaired settingCIDEr: 46.7 -> 54.9Helped
Add adversarial training to the feat2sen initialization (ablation)Unpaired image captioning model · MSCOCO test split, unpaired settingCIDEr: 35.4 -> 45.8Helped
Add concept reward to adversarial training (ablation)Unpaired image captioning model · MSCOCO test split, unpaired settingCIDEr: 45.8 -> 48.8Helped
Add image reconstruction objective to adversarial training and concept reward (ablation)Unpaired image captioning model · MSCOCO test split, unpaired settingCIDEr: 48.8 -> 49.0Helped
Add sentence reconstruction to adversarial training, concept reward, and image reconstruction (ablation)Unpaired image captioning model · MSCOCO test split, unpaired settingCIDEr: 49 -> 54.9Helped
Use adversarial training alone rather than the full method (ablation)Unsupervised image captioning model · MSCOCO test splitCIDEr: 28.6 -> 11.8Hurt
Use adversarial training alone rather than the full method (ablation)Unpaired image captioning model · MSCOCO test split, unpaired settingCIDEr: 54.9 -> 45.8Hurt

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