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

Visual-Semantic Matching by Exploring High-Order Attention and Distraction

CVPR 2020 · Vision-language and multimodal › Human and embodied modeling · approach: Language-grounded scene text and structure · 38 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add relation information to object-only scene graphs (ablation)Visual-semantic matching model · MS-COCO 1Ksentence retrieval R@1: 70.9 -> 74.1Helped
Add relation information to object-only scene graphs (ablation)Visual-semantic matching model · MS-COCO 1Kimage retrieval R@1: 52.3 -> 61.8Helped
Add attribute information to graphs with objects and relations (ablation)Visual-semantic matching model · MS-COCO 1Ksentence retrieval R@1: 74.1 -> 77.0Helped
Add attribute information to graphs with objects and relations (ablation)Visual-semantic matching model · MS-COCO 1Kimage retrieval R@1: 61.8 -> 65.1Helped
Remove cross-graph attention (ablation)Visual-semantic matching model · MS-COCO 1Ksentence retrieval R@1: 77.0 -> 46.9Hurt
Remove cross-graph attention (ablation)Visual-semantic matching model · MS-COCO 1Kimage retrieval R@1: 65.1 -> 47.5Hurt
Remove node attention (ablation)Visual-semantic matching model · MS-COCO 1Ksentence retrieval R@1: 77.0 -> 56.7Hurt
Remove node attention (ablation)Visual-semantic matching model · MS-COCO 1Kimage retrieval R@1: 65.1 -> 51.3Hurt
Add entropy-based distraction re-ranking to the top-10 resultsVisual-semantic matching model · MS-COCO 1Ksentence retrieval R@1: 77.0 -> 77.8Helped
Add entropy-based distraction re-ranking to the top-10 resultsVisual-semantic matching model · MS-COCO 5Kimage retrieval R@1: 39.4 -> 40.5Helped
Add entropy-based distraction re-ranking to the top-10 resultsVisual-semantic matching model · Flickr30Ksentence retrieval R@1: 70.8 -> 70.8No clear effect

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