SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment

被引:0
|
作者
Chen, Pengfei [1 ]
Li, Leida [2 ]
Wu, Qingbo [3 ]
Wu, Jinjian [2 ]
机构
[1] School of Information and Control Engineering, China University of Mining and Technology, Xuzhou,221116, China
[2] School of Artificial Intelligence, Xidian University, Xi'an,710071, China
[3] School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu,611731, China
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:513 / 517
相关论文
共 50 条
  • [21] Prediction of MASH features from liver biopsy images using a pre-trained self-supervised learning model
    Wang, Yang
    Vyawahare, Saurabh
    McNeil, Carson
    Loo, Jessica
    Robbins, Marc
    Goldenberg, Roman
    JOURNAL OF HEPATOLOGY, 2024, 80 : S592 - S592
  • [22] Investigation of self-supervised pre-trained models for classification of voice quality from speech and neck surface accelerometer signals
    Kadiri, Sudarsana Reddy
    Javanmardi, Farhad
    Alku, Paavo
    COMPUTER SPEECH AND LANGUAGE, 2023, 83
  • [23] ON THE USE OF SELF-SUPERVISED PRE-TRAINED ACOUSTIC AND LINGUISTIC FEATURES FOR CONTINUOUS SPEECH EMOTION RECOGNITION
    Macary, Manon
    Tahon, Marie
    Esteve, Yannick
    Rousseau, Anthony
    2021 IEEE SPOKEN LANGUAGE TECHNOLOGY WORKSHOP (SLT), 2021, : 373 - 380
  • [24] Quality-aware Pre-trained Models for Blind Image Quality Assessment
    Zhao, Kai
    Yuan, Kun
    Sun, Ming
    Li, Mading
    Wen, Xing
    2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2023, : 22302 - 22313
  • [25] Employing bimodal representations to predict DNA bendability within a self-supervised pre-trained framework
    Yang, Minghao
    Zhang, Shichen
    Zheng, Zhihang
    Zhang, Pengfei
    Liang, Yan
    Tang, Shaojun
    NUCLEIC ACIDS RESEARCH, 2024, 52 (06)
  • [26] GhostEncoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning
    Wang, Qiannan
    Yin, Changchun
    Fang, Liming
    Liu, Zhe
    Wang, Run
    Lin, Chenhao
    COMPUTERS & SECURITY, 2024, 142
  • [27] Prediction of Protein Tertiary Structure Using Pre-Trained Self-Supervised Learning Based on Transformer
    Kurniawan, Alif
    Jatmiko, Wisnu
    Hertadi, Rukman
    Habibie, Novian
    2020 5TH INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS 2020), 2020, : 75 - 80
  • [28] Can Self-Supervised Neural Representations Pre-Trained on Human Speech distinguish Animal Callers?
    Sarkar, Eklavya
    Magimai-Doss, Mathew
    INTERSPEECH 2023, 2023, : 1189 - 1193
  • [29] ON FINE-TUNING PRE-TRAINED SPEECH MODELS WITH EMA-TARGET SELF-SUPERVISED LOSS
    Yang, Hejung
    Kang, Hong-Goo
    2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP 2024, 2024, : 6360 - 6364
  • [30] A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning
    Kotei, Evans
    Thirunavukarasu, Ramkumar
    INFORMATION, 2023, 14 (03)