Generating Synthetic Sidescan Sonar Snippets Using Transfer-Learning in Generative Adversarial Networks (original) (raw)

Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks

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2020 IEEE International Conference on Robotics and Automation (ICRA), 2020

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Minsu Cho

2020

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2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

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ArXiv, 2019

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Quan Hoang

2017

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Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022

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Hyung Jin Chang

ArXiv, 2017

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2020

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Generative Adversarial Network (GAN) to Generate Realistic Images

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Seeing What a GAN Cannot Generate

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arXiv (Cornell University), 2017

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arXiv (Cornell University), 2021

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vajira thambawita

2019

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How Generative Adversarial Networks and its variants Work: An Overview of GAN

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arXiv (Cornell University), 2017

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Cross-View Image Synthesis Using Conditional GANs

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2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018

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S-Flow GAN

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arXiv (Cornell University), 2019

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Teaching a GAN What Not to Learn

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Neural Information Processing Systems, 2020

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Minje Park

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Sampling Strategies for GAN Synthetic Data

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ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020

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arXiv (Cornell University), 2022

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2020

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