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：
IEEE Signal Processing Letters | 2022年 / 29卷
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
  • [1] SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment
    Chen, Pengfei
    Li, Leida
    Wu, Qingbo
    Wu, Jinjian
    IEEE SIGNAL PROCESSING LETTERS, 2022, 29 : 513 - 517
  • [2] Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization
    Zhao, Xiao-Ying
    Zhu, Qiu-Shi
    Zhang, Jie
    PROCEEDINGS OF 2022 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2022, : 330 - 334
  • [3] TARGET SPEECH EXTRACTION WITH PRE-TRAINED SELF-SUPERVISED LEARNING MODELS
    Peng, Junyi
    Delcroix, Marc
    Ochiai, Tsubasa
    Plchot, Oldrich
    Araki, Shoko
    Cemocky, Jan
    2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2024), 2024, : 10421 - 10425
  • [4] BadEncoder: Backdoor Attacks to Pre-trained Encoders in Self-Supervised Learning
    Jia, Jinyuan
    Liu, Yupei
    Gong, Neil Zhenqiang
    43RD IEEE SYMPOSIUM ON SECURITY AND PRIVACY (SP 2022), 2022, : 2043 - 2059
  • [5] Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration
    Vogel, Sebastian
    Springer, Jannik
    Guntoro, Andre
    Ascheid, Gerd
    2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), 2019, : 1094 - 1099
  • [6] Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model
    Zou, Jiaxin
    Xu, Xianghong
    Hou, Jiawei
    Yang, Qiang
    Zheng, Hai-Tao
    2023 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, IJCNN, 2023,
  • [7] Unsupervised Visual Anomaly Detection Using Self-Supervised Pre-Trained Transformer
    Kim, Jun-Hyung
    Kwon, Goo-Rak
    IEEE ACCESS, 2024, 12 : 127604 - 127613
  • [8] Self-supervised pre-trained neural network for quantum natural language processing
    Yao, Ben
    Tiwari, Prayag
    Li, Qiuchi
    NEURAL NETWORKS, 2025, 184
  • [9] A Mathematical Interpretation of Autoregressive Generative Pre-Trained Transformer and Self-Supervised Learning
    Lee, Minhyeok
    MATHEMATICS, 2023, 11 (11)
  • [10] CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning
    Kyungjin Cho
    Ki Duk Kim
    Yujin Nam
    Jiheon Jeong
    Jeeyoung Kim
    Changyong Choi
    Soyoung Lee
    Jun Soo Lee
    Seoyeon Woo
    Gil-Sun Hong
    Joon Beom Seo
    Namkug Kim
    Journal of Digital Imaging, 2023, 36 : 902 - 910
12345