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Semi-Supervised Image Deraining Using Knowledge Distillation

  • Published:2022-12 Issue:12 Volume:32 Page:8327-8341
  • ISSN:1051-8215
  • Container-title:IEEE Transactions on Circuits and Systems for Video Technology
  • language:
  • Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Cui Xin1ORCID,Wang Cong2,Ren Dongwei3ORCID,Chen Yunjin4ORCID,Zhu Pengfei1ORCID

Affiliation:

1. College of Intelligence and Computing, Tianjin University, Tianjin, China

2. Department of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong

3. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

4. Alibaba Cloud, Hangzhou, China

Funder

National Natural Science Foundation of China

Alibaba Group through Alibaba Innovative Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Reference80 articles.

1. Automatic differentiation in pytorch;paszke;Proc NIPS Autodiff Workshop Future Gradient-Based Mach Learn Softw Techn,2017

2. Image Quality Assessment: From Error Visibility to Structural Similarity

3. Distilling Image Dehazing With Heterogeneous Task Imitation

4. Semi-Supervised Image Dehazing

5. Adam: A method for stochastic optimization;kingma;Proc ICLR,2015

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