4 papers
LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment: Methods and Results
Xin Li, Daoli Xu, Wei Luo +27
This paper reviews the LoViF 2026 Challenge on Human-oriented Semantic Image Quality Assessment. This challenge aims to raise a new direction, i.e., how to evaluate the loss of sem…
ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking
Kanglong Fan, Tianhe Wu, Wen Wen +6
Reasoning-induced vision-language models (VLMs) advance image quality assessment (IQA) with textual reasoning, yet their scalar scores often lack sensitivity and collapse to a few…
Enhancing Interpretability for Vision Models via Shapley Value Optimization
Kanglong Fan, Yunqiao Yang, Chen Ma
Deep neural networks have demonstrated remarkable performance across various domains, yet their decision-making processes remain opaque. Although many explanation methods are dedic…
Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
Wen Wen, Tianwu Zhi, Kanglong Fan +6
Improving vision-language models (VLMs) in the post-training stage typically relies on supervised fine-tuning or reinforcement learning, methods that necessitate costly, human-anno…