Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement-Reference-Cited by-同舟云学术

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Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement

Published:2024-08 Issue:8 Volume:34 Page:7671-7682
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:

Qiao Nianzu¹^ORCID,Sun Changyin²^ORCID,Dong Lu³^ORCID,Ge Quanbo⁴

Affiliation:

1. College of Electronic and Information Engineering, Tongji University, Shanghai, China

2. School of Automation, Southeast University, Nanjing, China

3. School of Cyber Science and Engineering, Southeast University, Nanjing, China

4. School of Automation, Nanjing University of Information Science and Technology, Nanjing, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10474068.pdf?arnumber=10474068

Reference48 articles.

1. What is the Space of Attenuation Coefficients in Underwater Computer Vision?

2. Deep Joint Depth Estimation and Color Correction From Monocular Underwater Images Based on Unsupervised Adaptation Networks

3. Trajectory Guided Robust Visual Object Tracking With Selective Remedy

4. Latent Bi-Constraint SVM for Video-Based Object Recognition

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