Suchergebnisse - "adversarial autoencoder networks"

Perceptual Loss-Constrained Adversarial Autoencoder Networks for Hyperspectral Unmixing von 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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Anomaly Detection With Memory-Augmented Adversarial Autoencoder Networks for Industry 5.0 von Zhang, Huan, Kumar, Neeraj, Wu, Sheng, Wu, Chunlei, Wang, Jian, Zhang, Peiying

“… CNN-based adversarial machine learning models are proposed to drive the innovation of anomaly detection techniques under Industry 5.0. However, the …”
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Applying deep generative model in plan review of intensity modulated radiotherapy von Huang, Peng, Shang, Jiawen, Fan, Yuhan, Chang, Zhixing, Xu, Yingjie, Zhang, Ke, Hu, Zhihui, Dai, Jianrong, Yan, Hui

“… Purpose To alleviate this issue, a deep generative model, adversarial autoencoder networks (AAE …”
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SAR Image Representation Learning With Adversarial Autoencoder Networks von Song, Qian, Xu, Feng, Jin, Ya-Qiu

“… This paper focuses on the generalization ability of model for SAR automatic target recognition (ATR). An object-based similarity evaluation method for MSTAR …”
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Adversarial Autoencoder Network for Hyperspectral Unmixing von Jin, Qiwen, Ma, Yong, Fan, Fan, Huang, Jun, Mei, Xiaoguang, Ma, Jiayi

“… Spectral unmixing (SU), which refers to extracting basic features (i.e., endmembers) at the subpixel level and calculating the corresponding proportion (i.e., …”
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A3N: Attention-based adversarial autoencoder network for detecting anomalies in video sequence von 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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Generative Adversarial Autoencoder Network for Anti-Shadow Hyperspectral Unmixing von Sun, Bin, Su, Yuanchao, Sun, He, Bai, Jinying, Li, Pengfei, Liu, Feng, Liu, Dongsheng

“… Hyperspectral unmixing can handle the mixed pixels in hyperspectral images (HSIs). Shadows of objects in observed areas are recorded by sensors, resulting in …”
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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images von Jia, Meng, Lou, Xiangyu, Zhao, Zhiqiang, Lu, Xiaofeng, Shi, Zhenghao

“… Heterogeneous remote sensing images, acquired from different sensors, exhibit significant variations in data structure, resolution, and radiometric …”
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Reconstruction of incomplete surface electromyography based on an adversarial autoencoder network von Zou, Yongxiang, Cheng, Long, Han, Lijun

“… Surface electromyography (sEMG) signals are often incomplete due to interferences during data measurement, which can degrade sEMG-based applications. To …”
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Pixel-Level and Global Similarity-Based Adversarial Autoencoder Network for Hyperspectral Unmixing von Tao, Wei, Zhang, Haiyang, Zeng, Shan, Wang, Long, Liu, Chaoxian, Li, Bing

“… Hyperspectral unmixing is a critical task in remote sensing, enabling the decomposition of hyperspectral data into their constituent endmembers and abundances …”
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Multi-task adversarial autoencoder network for face alignment in the wild von 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 …”
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Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network von Shan, Jiahao, Cai, Donghong, Fang, Fang, Khan, Zahid, Fan, Pingzhi

“… Anomaly detection of multivariate time series (MTS) is crucial in industrial intelligent systems. To address the challenges of absence of anomaly labels, fast …”
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Limited-View Cone-Beam CT Reconstruction Based on an Adversarial Autoencoder Network With Joint Loss von Dai, Xiubin, Bai, Jianan, Liu, Tianliang, Xie, Lizhe

“… First, this method slices the 3D CBCT projections into multiple 2D pieces. Then, an adversarial autoencoder network is trained …”
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Spectral-spatial adversarial network for nonlinear hyperspectral unmixing of imbalanced datasets von Yang, Xu, Chen, Jianguo, Chen, Zihao

“… With its successful application in various fields, hyperspectral unmixing (HU) technology has received extensive attention in remote sensing processing …”
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Incorporating Geological Knowledge into Deep Learning to Enhance Geochemical Anomaly Identification Related to Mineralization and Interpretability von Zhang, Chunjie, Zuo, Renguang

“… Effective geochemical anomaly identification is crucial in mineral exploration. Recent trends have favored deep learning (DL) to decipher geochemical survey …”
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Unsupervised Facial Image Synthesis Using Two-Discriminator Adversarial Autoencoder Network von Wu, Xuehui, Shao, Jie, Zhang, Dongyang, Chen, Junming

“… To address this problem, we propose a two-discriminator adversarial autoencoder network (TAAN). The latent-discriminator is trained to disentangle an input image …”
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Semantic-guided autoencoder adversarial hashing for large-scale cross-modal retrieval von Li, Mingyong, Li, Qiqi, Ma, Yan, Yang, Degang

“… With the vigorous development of mobile Internet technology and the popularization of smart devices, while the amount of multimedia data has exploded, its …”
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Understanding and Modeling of WiFi Signal-Based Indoor Privacy Protection von Zhang, Wei, Zhou, Siwang, Peng, Dan, Yang, Liang, Li, Fangmin, Yin, Hui

“… To solve them, we present two types of adversarial autoencoder networks (AAENs). Through replacing the original signals with the generated adversarial ones …”
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Deep Semantic Adversarial Hashing Based on Autoencoder for Large-Scale Cross-Modal Retrieval von Li, Mingyong, Wang, Hongya

“… ). Specifically, under the guidance of semantic multi-label, two types of adversarial autoencoder networks …”
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Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning von Ghodrati, Vahid, Bydder, Mark, Ali, Fadil, Gao, Chang, Prosper, Ashley, Nguyen, Kim‐Lien, Hu, Peng

“… ‐breathing cine MRI and evaluate its performance. An adversarial autoencoder network was trained using unpaired training data from healthy volunteers and patients who underwent clinically indicated cardiac MRI examinations. A U …”
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