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- Generative Adversarial Training for Weakly Supervised Cloud Matting🔍
- A hybrid quantum|classical conditional generative adversarial ...🔍
- Thin Cloud Removal Generative Adversarial Network Based ...🔍
- Weakly|supervised cloud detection and effective cloud removal for ...🔍
- A feature|supervised generative adversarial network for ...🔍
A hybrid generative adversarial network for weakly|supervised cloud ...
A hybrid generative adversarial network for weakly-supervised cloud ...
This paper presents a hybrid cloud detection method based on the synergistic combination of generative adversarial networks (GAN) and a physics-based cloud ...
A hybrid generative adversarial network for weakly-supervised cloud ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images · Li, Jun · Wu, Zhaocong · Sheng, Qinghong · Wang, Bo · Hu ...
A hybrid generative adversarial network for weakly-supervised cloud ...
PDF | Cloud detection is a crucial step in the optical satellite image processing pipeline for Earth observation. Clouds in optical remote ...
A hybrid generative adversarial network for weakly-supervised cloud ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images · Jun Li · Zhaocong Wu · Qinghong Sheng · Bo Wang · Zhongwen Hu ...
A hybrid generative adversarial network for weakly-supervised cloud ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images. Jun Li, Zhaocong Wu, Qinghong Sheng, Bo Wang, Zhongwen ...
A hybrid generative adversarial network for weakly-supervised cloud ...
To overcome these challenges, this paper presents a hybrid cloud detection method based on the synergistic combination of generative adversarial networks (GAN) ...
[PDF] Generative Adversarial Training for Weakly Supervised Cloud ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images · Environmental Science, Computer Science. Remote Sensing ...
VTGAN: hybrid generative adversarial networks for cloud workload ...
We use GAN models for building predicting cloud workloads models. Moreover, GANs were not applied before in cloud data centers, whether a ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images. Peer-reviewed. Open access. DOI. 10.1016/j ...
Generative Adversarial Training for Weakly Supervised Cloud Matting
Li et al. [67] proposed a weakly supervised cloud detection method GAN-CDM based on synergistic combination of generative adversarial networks and a physics- ...
A hybrid quantum-classical conditional generative adversarial ...
Therefore, we consider the very creative quantum generative adversarial network model as a breakthrough in HCC computing in cloud. Generative ...
Thin Cloud Removal Generative Adversarial Network Based ... - MDPI
... supervision, X.G. and Y.Z. (Yinghui Zhao); ... HyA-GAN: Remote sensing image cloud removal based on hybrid attention generation adversarial network.
Weakly-supervised cloud detection and effective cloud removal for ...
A. Kuznetsov, M. Gashnikov, Remote Sensing Image Inpainting with Generative Adversarial Networks, in: 2020 8th International Symposium on Digital Forensics and ...
A feature-supervised generative adversarial network for ...
This paper proposes a feature-supervised learning network based on generative adversarial networks (GAN) for environmental monitoring during hazy days.
Generative Adversarial Training for Weakly Supervised Cloud Matting
Our model consists of three networks, a cloud generator G, a cloud discriminator D, and a cloud matting network F, where G and D aim to generate realistic ...
[PDF] Cloud Removal with Fusion of High Resolution Optical and ...
A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images · Jun Yu LiZhaocong Wu +5 authors. M. Molinier.
RSE2022/云检测：A hybrid generative adversarial network for ...
RSE2022/云检测：A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images一种用于多光谱图像弱监督 ...
A GAN-based Hybrid Deep Learning Approach for Enhancing ...
Machine learning algorithms help to learn the patterns of intrusion in datasets. The supervised deep feed-forward neural networks (ANN) check the standards such ...
Remote sensing image dehazing using generative adversarial ...
proposed semi-supervised GAN. It consists of a domain alignment module, a haze-aware attention module, and the dark channel prior. SDA-GAN can ...
satellite-image-deep-learning/techniques - GitHub
CloudMattingGAN -> Generative Adversarial Training for Weakly Supervised Cloud Matting ... DeCloud-GAN -> DeCloud GAN: An Advanced Generative Adversarial Network ...