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Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing

CVPR 2019 · Vision-language and multimodal › Human and embodied modeling · approach: Referring expression comprehension · 204 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add cross-modal attention-guided erasing during trainingCM-Att · RefCOCOgaccuracy: 78.10 -> 80.23; 78.12 -> 80.37Helped
replace attention-guided erasing with random erasing (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.08; 80.37 -> 79.05Hurt
use a separate adversarial network to choose erasures (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.31; 80.37 -> 79.23Hurt
use self-attention rather than cross-modal attention to guide erasing (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.27; 80.37 -> 79.22Hurt
remove visual erasing, retaining textual erasing (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.21; 80.37 -> 79.55Hurt
remove textual erasing, retaining visual erasing (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.05; 80.37 -> 79.37Hurt
apply erasing iteratively (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 80.13; 80.37 -> 79.97Hurt
also erase during inference and ensemble scores (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.25; 80.37 -> 79.56Hurt
replace erasing with multiple steps of attention (ablation)CM-Att-Erase · RefCOCOgaccuracy: 80.23 -> 79.31; 80.37 -> 78.49Hurt

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