Search Results for author: YeonJoon Jung

Found 1 papers, 0 papers with code

Debiasing Event Understanding for Visual Commonsense Tasks

no code implementations Findings (ACL) 2022 Minji Seo, YeonJoon Jung, Seungtaek Choi, Seung-won Hwang, Bei Liu

We study event understanding as a critical step towards visual commonsense tasks. Meanwhile, we argue that current object-based event understanding is purely likelihood-based, leading to incorrect event prediction, due to biased correlation between events and objects. We propose to mitigate such biases with do-calculus, proposed in causality research, but overcoming its limited robustness, by an optimized aggregation with association-based prediction. We show the effectiveness of our approach, intrinsically by comparing our generated events with ground-truth event annotation, and extrinsically by downstream commonsense tasks.

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