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MiD-VLM: Detecting and Grounding Global Semantic Misinformation in Image-Caption Pairs

Paper recorded by Signals 4 on 2026-10-23 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-23 on arXiv · recorded by Signals 4 on 2026-10-26

Category: cs.CV · 计算机视觉 · first seen 2026-10-26

Abstract

Semantic misinformation can arise when an authentic image is paired with a caption that changes or distorts its narrative. Because the image itself may contain no visible signs of manipulation, methods designed to detect pixel-level artifacts can miss these misleading image-caption pairs. We study this problem using DGM4+, a dataset designed to evaluate the detection of global scene and semantic i

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#160 most recent of 756 cs.CV papers we have recorded · ↑ newer: FlexGlue: Sparse-to-Dense Feature Matching and Visual Disambiguation · ↓ older: ViT-H: Generative Video-To-Humanoid Control with Motion Tracking Feedb
Cite this page: MiD-VLM: Detecting and Grounding Global Semantic Misinformation in Image-Caption Pairs: the #160 most recent of 756 cs.CV papers we have recorded (as of 2026-10-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/mid-vlm-detecting-and-grounding-global-semantic-misinformation-in-image-caption-.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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