Daniel Reich

2 accepted papers

2024

Uncovering the Full Potential of Visual Grounding Methods in VQA

ACL 2024long

Visual Grounding (VG) methods in Visual Question Answering (VQA) attempt to improve VQA performance by strengthening a model’s reliance on question-relevant visual information. The presence of such relevant information in the visual input is typically assumed in training and testing. This assumption…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2023

Measuring Faithful and Plausible Visual Grounding in VQA

Daniel Reich, Felix Putze, Tanja Schultz

EMNLP 2023long findings

Metrics for Visual Grounding (VG) in Visual Question Answering (VQA) systems primarily aim to measure a system's reliance on relevant parts of the image when inferring an answer to the given question. Lack of VG has been a common problem among state-of-the-art VQA systems and can manifest in over-re…

Cited by 0 Source ↗code ↗Scholar ↗