Source camera identification for re-compressed images: A model perspective based on tri-transfer learning

被引：0
|
作者：
Zhang, Guowen [1 ]
Wang, Bo [1 ]
Wei, Fei [2 ]
Shi, Kaize [1 ]
Wang, Yue [1 ]
Sui, Xue [3 ]
Zhu, Meineng [4 ]
机构：
[1] School of Information and Communication Engineering, Dalian University of Technology, China
[2] Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo,NY,14260-2500, United States
[3] Liaoning Normal University, Dalian, Liaoning,116029, China
[4] Beijing Institute of Electronics Technology and Application, Beijing,100091, China
来源：
Computers and Security | 2021年 / 100卷
基金：
中国国家自然科学基金;
关键词：
47;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] A robust transfer learning approach for colorectal cancer identification based on histopathology images
    Haryanto, Toto
    Al Farel, Helmi
    Suhartanto, Heru
    Kusmardi, Kusmardi
    Yusoff, Marina
    Zain, Jasni Mohamad
    Wibisono, Ari
    Research on Biomedical Engineering, 2024, 40 (3-4) : 753 - 767
  • [32] Uncorrelated multi-source load identification in frequency domain based on neural network and model transfer learning
    Chen, Delei
    Wang, Cheng
    Zeng, Yu
    Li, Haibo
    Lai, Xiongming
    Chen, Yewang
    Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 27 (10): : 2961 - 2969
  • [33] Transfer learning based identification model for macerals of exinite in coal
    Wang, Peizhen
    Yu, Chen
    Xue, Zihan
    Zhang, Dailin
    Meitan Kexue Jishu/Coal Science and Technology (Peking), 2022, 50 (01): : 220 - 227
  • [34] Pedestrian Re-identification Model based on Joint learning Method
    Xue, Shuangsi
    Cao, Hui
    Wang, Tao
    Yan, Xingyu
    Wang, Zhuzhu
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 3062 - 3067
  • [35] Blind identification technology for digital images based on infinite light source model
    Chen, Hai-Peng
    Shen, Xuan-Jing
    Lü, Ying-Da
    Jin, Yu-Shan
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2010, 40 (01): : 195 - 200
  • [36] Identification of early miscarriage based on ultrasound images by the deep learning model
    Chen, G.
    Zhou, M.
    Zhang, Z.
    Liao, W.
    Zhang, Y.
    Zhang, Z.
    Li, S.
    Wang, Y.
    ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2023, 62 : 63 - 63
  • [37] Learning images using compositional pattern-producing neural networks for source camera identification and digital demographic diagnosis
    Jin, Qingyue
    Huang, Yizhen
    Fan, Na
    PATTERN RECOGNITION LETTERS, 2012, 33 (04) : 381 - 396
  • [38] A Deep Learning Based Digital Forensic Solution to Blind Source Identification of Facebook Images
    Sameer, Venkata Udaya
    Dali, Ishaan
    Naskar, Ruchira
    INFORMATION SYSTEMS SECURITY, ICISS 2018, 2018, 11281 : 291 - 303
  • [39] Vehicle Re-Identification in Multi-Camera scenarios based on Ensembling Deep Learning Features
    Moral, Paula
    Garcia-Martin, Alvaro
    Martinez, Jose M.
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2020), 2020, : 2574 - 2580
  • [40] Unsupervised Vehicle Re-Identification Method Based on Source-Free Knowledge Transfer
    Song, Zhigang
    Li, Daisong
    Chen, Zhongyou
    Yang, Wenqin
    APPLIED SCIENCES-BASEL, 2023, 13 (19):
12345