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Research map / Vision-language and multimodal / Cross-modal learning

Multi-Modality Cross Attention Network for Image and Sentence Matching

CVPR 2020 · Vision-language and multimodal › Cross-modal learning · approach: Probabilistic embeddings for cross-modal retrieval · 453 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Jointly model intra- and inter-modality relationships with self-attention and cross-attentionMMCA · Flickr30KImage-to-text R@1: 69.1 -> 74.2Helped
Jointly model intra- and inter-modality relationships with self-attention and cross-attentionMMCA · MS-COCO 1K testing setImage-to-text R@1: 72.7 -> 74.8Helped
Jointly model intra- and inter-modality relationships with self-attention and cross-attentionMMCA · MS-COCO 5K testing setImage-to-text R@1: 50.4 -> 54.0Helped
Jointly model intra- and inter-modality relationships with self-attention and cross-attentionMMCA · MS-COCO 5K testing setText-to-image R@1: 39.0 -> 38.7Mixed
Use a 256d rather than 64d hidden space (ablation)MMCA · Flickr30KImage-to-text R@1: 71.4 -> 74.2Helped
Use a 256d rather than 128d hidden space (ablation)MMCA · Flickr30KImage-to-text R@1: 72.6 -> 74.2Helped
Use a 512d rather than 256d hidden space (ablation)MMCA · Flickr30KImage-to-text R@1: 74.2 -> 73.6Hurt
Use a 256d rather than 64d hidden space (ablation)MMCA · MS-COCO 1K testing setImage-to-text R@1: 71.7 -> 74.8Helped
Use a 512d rather than 256d hidden space (ablation)MMCA · MS-COCO 1K testing setImage-to-text R@1: 74.8 -> 74.1Hurt
Set cross-attention score weight alpha to 0.2 rather than 0.1 (ablation)MMCA · Flickr30KImage-to-text R@1: 71.7 -> 74.2Helped
Set cross-attention score weight alpha to 0.4 rather than 0.2 (ablation)MMCA · Flickr30KImage-to-text R@1: 74.2 -> 71.8Hurt
Set cross-attention score weight alpha to 0.8 rather than 0.2 (ablation)MMCA · Flickr30KImage-to-text R@1: 74.2 -> 67.1Hurt

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