VisionQ: VLM-as-a-Judge Taxonomy, Dataset and Benchmark for Qualitative Analysis in Computer Vision

arXiv:2610.00666 · cs.CV, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/ReML-AI/visionq

Terminology

• Fidelity — 85× in this paper · explained in 2 episodes
• Benchmark — 49× in this paper · explained in 2 episodes
• Accuracy — 48× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Gaussian Splatting — 7× in this paper · explained in 4 episodes
• Optical Flow — 7× in this paper · explained in 2 episodes
• Grounding — 6× in this paper · explained in 3 episodes
• Calibration — 4× in this paper · explained in 7 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Failure Modes — 4× in this paper · explained in 3 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Positional Bias — 3× in this paper · explained in 2 episodes
• Evaluation Dimensions — 2× in this paper · explained in 3 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Vision-Language Models (VLMs) — 2× in this paper · explained in 6 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Computer Vision and Pattern Recognition — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Explainability — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Advancing Multimodal Judge Models through a Capability-Oriented Benchmark and MCTS-Driven Data Generation
• VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
• Human-Aligned MLLM Judges for Fine-Grained Image Editing Evaluation: A Benchmark, Framework, and Analysis
• Vision-Language Models vs Human: Perceptual Image Quality Assessment
• Clio: Privacy-Preserving Insights into Real-World AI Use
• Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

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