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Generating Descriptions With Grounded and Co-Referenced People

CVPR 2017 · Vision-language and multimodal › Human and embodied modeling · approach: Visual grounding transformers · 52 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add grounding and co-reference supervision (ablation)Our · MPII-MD test, manual labeled subsetF1 Grounding + Co-Reference + word: 13.47 -> 49.55Helped
add grounding and co-reference supervision (ablation)Our · MPII-MD Co-ref+Gender test, with previous clip character groundingCIDEr: 10.48 -> 11.70Helped
add activity body-context features (ablation)Our · MPII-MD Co-ref+Gender test, with previous clip character groundingCIDEr: 11.70 -> 12.64Helped
add activity body-context features (ablation)Our · MPII-MD test, automatic ground truth full setF1 Grounding + Co-Reference + word: 33.88 -> 37.23Helped
add ResNet body-context features (ablation)Our · MPII-MD test, automatic ground truth full setF1 Grounding + Co-Reference + word: 33.88 -> 37.92Helped
add statistic features (ablation)Our · MPII-MD test, automatic ground truth full setF1 Grounding + Co-Reference + word: 32.87 -> 33.88Helped
add statistic features (ablation)Our · MPII-MD Co-ref+Gender test, with previous clip character groundingCIDEr: 11.65 -> 11.70No clear effect
remove attention and co-reference (ablation)Our + Activity · MPII-MD Co-ref+Gender test, without previous clip character groundinghuman judgment: 15.0 -> 11.0Hurt
use automatically grounded previous-clip characters instead of the no-grounding setupOur + Activity · MPII-MD Co-ref+Gender testhuman judgment: 15.0 -> 14.5Mixed

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