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Image Search With Text Feedback by Visiolinguistic Attention Learning

CVPR 2020 · Vision-language and multimodal › Human and embodied modeling · approach: Composed and text-based image retrieval · 193 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use multi-level VAL composite transformers instead of TIRGImage search with text feedback · Fashion200kR@1: 14.8 -> 21.2Helped
Add auxiliary visual-semantic matching (ablation)VAL · Fashion200kR@10: 49.0 -> 53.8Helped
Initialize word vectors with GloVe (ablation)VAL · Fashion200kR@1: 21.2 -> 22.9Helped
Add auxiliary visual-semantic matching (ablation)VAL · ShoesR@10: 49.12 -> 49.83Helped
Initialize word vectors with GloVe (ablation)VAL · ShoesR@1: 16.49 -> 17.18Helped
Add auxiliary visual-semantic matching (ablation)VAL · FashionIQR@10: 22.60 -> 23.07Helped
Initialize word vectors with GloVe (ablation)VAL · FashionIQR@10: 22.60 -> 24.15Helped
Add self-attentional transformation (ablation)VAL · FashionIQR@10: 21.94 -> 22.60Helped
Add joint-attentional preservation (ablation)VAL · FashionIQR@10: 21.31 -> 22.60Helped
Add self-attentional transformation (ablation)VAL · ShoesR@1: 7.85 -> 16.49Helped
Add joint-attentional preservation (ablation)VAL · ShoesR@1: 13.43 -> 16.49Helped
Compose image and text at multiple CNN depths rather than high level only (ablation)VAL · Fashion200kR@@1: 15.99 -> 21.19Helped

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