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2025 ICML ICML 2025

Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision

Authors

Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang

Topics

Machine Learning > Learning Types > Self-Supervised Learning Machine Learning > Optimization & Theory > Optimization Computer Vision > Analysis > Scene Understanding

Keywords

semi-supervised learning entropy minimization confidence quantification pseudo-label learning blind quality assessment label optimization
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