Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

Author:

Zhang Weixia1,Zhai Guangtao1,Wei Ying2,Yang Xiaokang1,Ma Kede2

Affiliation:

1. MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University

2. City University of Hong Kong,Department of Computer Science

Funder

Shanghai Municipal Science and Technology Major Project

Publisher

IEEE

Reference80 articles.

1. No-reference image quality assessment via transformers, relative ranking, and self-consistency;alireza golestaneh;IEEE Winter Conference on Applications of Computer Vision,0

2. A law of comparative judgment.

3. Perceptual quality prediction on authentically distorted images using a bag of features approach

4. AdaShare: Learning what to share for efficient deep multi-task learning;sun;Advances in neural information processing systems,2020

5. Open-vocabulary object detection via vision and language knowledge distillation;gu;International Conference on Learning Representations,0

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