Search Results - Adversarial autoencoder network

RETRACTION: DAE‐GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising

“…RETRACTION: A. Samanta, A. Saha, S. C. Satapathy, H. Lin, “DAE‐GAN: An Autoencoder Based Adversarial Network for Gaussian Denoising,” Expert Systems (Early View): e12709, https://doi.org/10.1111/exsy.12709…”
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Adversarial Autoencoder Network for Hyperspectral Unmixing by Jin, Qiwen, Ma, Yong, Fan, Fan, Huang, Jun, Mei, Xiaoguang, Ma, Jiayi

“… Since the unmixing procedure can be explained as finding a set of low-dimensional representations that reconstruct the data with their corresponding bases, autoencoders (AEs…”
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Advancing Speech Enhancement with Generative Adversarial Network-Autoencoder: A Robust Adversarial Autoencoder Approach by Diwakar, Mandar, Gupta, Brijedra

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RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising by Samanta, Abhishek, Saha, Aheli, Satapathy, Suresh Chandra, Lin, Hong

“…), which has demonstrated considerably better results than the prior methods. There has been recent advancements in approaching the problem using generative adversarial networks (GAN…”
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3D-Convolutional Neural Network with Generative Adversarial Network and Autoencoder for Robust Anomaly Detection in Video Surveillance by Shin, Wonsup, Bu, Seok-Jun, Cho, Sung-Bae

“… We propose a hybrid deep learning model composed of a video feature extractor trained by generative adversarial network with deficient anomaly data and an anomaly detector boosted by transferring the extractor…”
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A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence by Aslam, Nazia, Rai, Prateek Kumar, Kolekar, Maheshkumar H.

“…This paper presents a novel attention-based adversarial autoencoder network (A3N) that consists of a two-stream decoder to detect abnormal events in video sequences…”
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AEGAN: Generating imperceptible face synthesis via autoencoder‐based generative adversarial network by Che, Aolin, Yang, Jing‐Hua, Guo, Cai, Dai, Hong‐Ning, Xie, Haoran, Li, Ping

“… Specifically, we design a generative adversarial network (GAN) framework with an autoencoder (AEGAN…”
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Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing by Sun, Bin, Su, Yuanchao, Sun, He, Bai, Jinying, Li, Pengfei, Liu, Feng, Liu, Dongsheng

“… In this letter, we employ a generative adversarial autoencoder (GAA) to develop a supervised unmixing method that can substantially reduce the impacts of shadow for unmixing…”
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Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment by Shi, Rong, Sheng, Can, Jin, Shichen, Zhang, Qi, Zhang, Shuoyan, Zhang, Liang, Ding, Changchang, Wang, Luyao, Wang, Lei, Han, Ying, Jiang, Jiehui

“… Here, we proposed a framework called generative adversarial network constrained multiple loss autoencoder (GANCMLAE…”
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Spatio‐Temporal Hourly and Daily Ozone Forecasting in China Using a Hybrid Machine Learning Model: Autoencoder and Generative Adversarial Networks by Cheng, Meiling, Fang, Fangxin, Navon, Ionel M., Zheng, Jie, Tang, Xiao, Zhu, Jiang, Pain, Christopher

“…‐scale numerical simulations. In this work, we introduce a hybrid model (VAE‐GAN) combining a generative adversarial network (GAN…”
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AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network by Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN…”
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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images by Jia, Meng, Lou, Xiangyu, Zhao, Zhiqiang, Lu, Xiaofeng, Shi, Zhenghao

“… The MHGAN employs a bidirectional adversarial convolutional autoencoder network to reconstruct and perform style transformation of heterogeneous images…”
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Reconstruction of incomplete surface electromyography based on an adversarial autoencoder network by Zou, Yongxiang, Cheng, Long, Han, Lijun

“… To address this issue, this paper proposes a novel adversarial autoencoder model, called the SGMD-AAE, which includes a self-mask generator and a multi-view discriminator…”
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Pixel-Level and Global Similarity-Based Adversarial Autoencoder Network for Hyperspectral Unmixing by Tao, Wei, Zhang, Haiyang, Zeng, Shan, Wang, Long, Liu, Chaoxian, Li, Bing

“… To address these challenges, we propose a novel adversarial autoencoder unmixing network considering pixel-level and global…”
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Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing by Zhao, Min, Wang, Mou, Chen, Jie, Rahardja, Susanto

“… To cope with this issue, we propose a general perceptual loss-constrained adversarial autoencoder network for hyperspectral unmixing…”
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Multi-task adversarial autoencoder network for face alignment in the wild by Yue, Xiaoqian, Li, Jing, Wu, Jia, Chang, Jun, Wan, Jun, Ma, Jinyan

“…•Proposes a novel Multi-task Adversarial Autoencoder (MTAAE) network.•Combines face reconstruction, facial attribute prediction with heatmap regression…”
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Improved Prediction of Aquatic Beetle Diversity in a Stagnant Pool by a One-Dimensional Convolutional Neural Network Using Variational Autoencoder Generative Adversarial Network-Generated Data by Hu, Miao, Jiang, Shujiao, Jia, Fenglong, Yang, Xiaomei, Li, Zhiqiang

“… Expanding limited experimental data using a variational autoencoder generative adversarial network (VAEGAN…”
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Anomaly Detection With Memory-Augmented Adversarial Autoencoder Networks for Industry 5.0 by Zhang, Huan, Kumar, Neeraj, Wu, Sheng, Wu, Chunlei, Wang, Jian, Zhang, Peiying

“… In this paper, we propose Memory-augmented Adversarial Autoencoder with CNN-Transformer (CTMAANet), aiming to improve the quality and utilization of features, which is conducive to the innovation of detection technology under Industry…”
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Novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence for fault diagnosis of unlabeled data by Yang, Jun-Feng, Zhang, Ning, He, Yan-Lin, Zhu, Qun-Xiong, Xu, Yuan

“… To solve this problem, this article proposes a novel dual-network autoencoder based adversarial domain adaptation with Wasserstein divergence (DWADA…”
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A hybrid method for day‐ahead photovoltaic power forecasting based on generative adversarial network combined with convolutional autoencoder by Pan, Xueping, Zhou, Jieyang, Sun, Xiaorong, Cao, Yang, Cheng, Xiaomei, Farahmand, Hossein

“… This paper develops a hybrid approach based on generative adversarial network (GAN) combined with convolutional autoencoder (CAE…”
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