Underwater Image Translation via Multi-Scale Generative Adversarial Network
The role that underwater image translation plays assists in generating rare images for marine applications. However, such translation tasks are still challenging due to data lacking, insufficient feature extraction ability, and the loss of content details. To address these issues, we propose a novel...
Saved in:
Main Authors: | YANG, Dongmei, ZHANG, Tianzi, LI, Boquan, LI, Menghao, CHEN, Weijing, LI, Xiaoqing, WANG, Xingmei |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/8334 https://ink.library.smu.edu.sg/context/sis_research/article/9337/viewcontent/jmse_11_01929_pvoa_cc_by.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Be a cartoonist : editing anime images using generative adversarial network
by: Koh, Tong Liang
Published: (2022) -
Enhancing Stock Movement Prediction with Adversarial Training
by: Feng Fuli, et al.
Published: (2020) -
Augmenting image data using generative adversarial networks (GAN)
by: Liu, Xinchi
Published: (2024) -
A self-supervised dual-channel self-attention acoustic encoder for underwater acoustic target recognition
by: WANG, Xingmei, et al.
Published: (2024) -
Adversarial learning on heterogeneous information networks
by: HU, Binbin, et al.
Published: (2019)