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
  • [31] Interpretabilty of Speech Emotion Recognition modelled using Self-Supervised Speech and Text Pre-Trained Embeddings
    Girish, K. V. Vijay
    Konjeti, Srikanth
    Vepa, Jithendra
    INTERSPEECH 2022, 2022, : 4496 - 4500
  • [32] Self-Supervised Image Quality Assessment through Active Learning
    Yu, Yunchao
    Sang, Qingbing
    PROCEEDINGS OF 2024 3RD INTERNATIONAL CONFERENCE ON CYBER SECURITY, ARTIFICIAL INTELLIGENCE AND DIGITAL ECONOMY, CSAIDE 2024, 2024, : 315 - 319
  • [33] IMAGE QUALITY ASSESSMENT DRIVEN SELF-SUPERVISED ANOMALY DETECTION
    Wang, Zhipeng
    Hou, Chunping
    Liu, Yang
    Ge, Bangbang
    Yue, Guanghui
    Song, Chunying
    2021 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA & EXPO WORKSHOPS (ICMEW), 2021,
  • [34] SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification
    Mishra, Animesh
    Jha, Ritesh
    Bhattacharjee, Vandana
    IEEE ACCESS, 2023, 11 : 6673 - 6681
  • [35] No Reference Image Quality Assessment Based on Self-supervised Learning
    Wei, Zhen
    Deng, Wanyu
    Li, Qirui
    Xu, Huijiao
    ADVANCES IN NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, ICNC-FSKD 2022, 2023, 153 : 849 - 858
  • [36] CONVOLUTIONAL NEURAL NETWORKS FOR OMNIDIRECTIONAL IMAGE QUALITY ASSESSMENT: PRE-TRAINED OR RE-TRAINED?
    Sendjasni, Abderrezzaq
    Larabi, Mohamed-Chaker
    Cheikh, Faouzi Alaya
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 3413 - 3417
  • [37] Contrastive Self-Supervised Pre-Training for Video Quality Assessment
    Chen, Pengfei
    Li, Leida
    Wu, Jinjian
    Dong, Weisheng
    Shi, Guangming
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 31 : 458 - 471
  • [38] ACOUSTIC-TO-ARTICULATORY INVERSION FOR DYSARTHRIC SPEECH: ARE PRE-TRAINED SELF-SUPERVISED REPRESENTATIONS FAVORABLE?<bold> </bold>
    Maharana, Sarthak Kumar
    Adidam, Krishna Kamal
    Nandi, Shoumik
    Srivastava, Ajitesh
    2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING WORKSHOPS, ICASSPW 2024, 2024, : 408 - 412
  • [39] Self-Supervised Pre-Trained Speech Representation Based End-to-End Mispronunciation Detection and Diagnosis of Mandarin
    Shen, Yunfei
    Liu, Qingqing
    Fan, Zhixing
    Liu, Jiajun
    Wumaier, Aishan
    IEEE ACCESS, 2022, 10 : 106451 - 106462
  • [40] END-TO-END SPOKEN LANGUAGE UNDERSTANDING USING TRANSFORMER NETWORKS AND SELF-SUPERVISED PRE-TRAINED FEATURES
    Morais, Edmilson
    Kuo, Hong-Kwang J.
    Thomas, Samuel
    Tuske, Zoltan
    Kingsbury, Brian
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 7483 - 7487