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to 10 of 17 (Search time: 0.0 seconds).
Lightweight single image super-resolution with dense connection distillation network
Li, Yanchun;
Cao, Jianglian;
Li, Zhetao;
Oh, Sangyoon
;
Komuro, Nobuyoshi
2021-04-01
ACM Transactions on Multimedia Computing, Communications and Applications, Vol.17
Association for Computing Machinery
Efficient deep neural network for photo-realistic image super-resolution
oa mark
Ahn, Namhyuk;
Kang, Byungkon;
Sohn, Kyung Ah
2022-07-01
Pattern Recognition, Vol.127
Elsevier Ltd
Deep image prior for super resolution of noisy image
oa mark
Han, Sujy;
Lee, Tae Bok;
Heo, Yong Seok
2021-08-02
Electronics (Switzerland), Vol.10
MDPI AG
Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks
Kwon, Hyuk Jin;
Koo, Hyung Il
;
Soh, Jae Woong;
Cho, Nam Ik
2022-12-01
IEEE Transactions on Neural Networks and Learning Systems, Vol.33, pp.7318-7329
Institute of Electrical and Electronics Engineers Inc.
Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials
oa mark
Ziatdinov, Maxim;
Kim, Dohyung;
Neumayer, Sabine;
Collins, Liam;
Ahmadi, Mahshid;
Vasudevan, Rama K.;
Jesse, Stephen;
Ann, Myung Hyun;
Kim, Jong H.
;
Kalinin, Sergei V.
2020-08-07
Journal of Applied Physics, Vol.128
American Institute of Physics Inc.
Study of a deep learning-based method for improving the spectral resolution of the spectral scanning hyperspectral imaging system via synthetic spectral image data
Kim, Suhyun;
Jung, Sera;
Yoon, Jonghee
2023-02-02
Journal of Physics D: Applied Physics, Vol.56
Institute of Physics
Data Augmentation for Low-Level Vision: CutBlur and Mixture-of-Augmentation
Ahn, Namhyuk;
Yoo, Jaejun;
Sohn, Kyung Ah
2024-06-01
International Journal of Computer Vision, Vol.132, pp.2041-2059
Springer
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