Výsledky vyhledávání - Attention based Convolution Autoencoder*

A hybrid deep learning-based fruit classification using attention model and convolution autoencoder Autor Xue, Gang, Liu, Shifeng, Ma, Yicao

“… chain, factories, supermarkets, and other fields. In this paper, we develop a hybrid deep learning-based fruit image classification framework, named attention-based densely connected convolutional networks with convolution autoencoder (CAE-ADN…”
Získat plný text

Attention Based Convolution Autoencoder for Dimensionality Reduction in Hyperspectral Images Autor Pande, Shivam, Banerjee, Biplab

“… To resolve these issues, deep learning techniques, such as convolution neural networks (CNNs) based autoencoders, are used…”
Získat plný text

Multi-Channel Multi-Scale Convolution Attention Variational Autoencoder (MCA-VAE): An Interpretable Anomaly Detection Algorithm Based on Variational Autoencoder Autor Liu, Jingwen, Huang, Yuchen, Wu, Dizhi, Yang, Yuchen, Chen, Yanru, Chen, Liangyin, Zhang, Yuanyuan

“…; some algorithms that consider both types of features lack interpretability. Therefore, we propose a high-precision, interpretable anomaly detection algorithm based on variational autoencoder (VAE…”
Získat plný text

GCN-Based LSTM Autoencoder with Self-Attention for Bearing Fault Diagnosis Autor Lee, Daehee, Choo, Hyunseung, Jeong, Jongpil

“…The manufacturing industry has been operating within a constantly evolving technological environment, underscoring the importance of maintaining the efficiency…”
Získat plný text

Convolutional Transformer-Inspired Autoencoder for Hyperspectral Anomaly Detection Autor He, Zhi, He, Dan, Xiao, Man, Lou, Anjun, Lai, Guanglin

“… In this letter, a convolutional transformer-inspired autoencoder (CTA) is proposed for HAD. The CTA consists of a clustering-based module and an autoencoder-based module…”
Získat plný text

Compact Image Transformer Based on Convolutional Variational Autoencoder with Augmented Attention Backbone for Target Recognition in Infrared Images Autor Nebili, Billel, Khellal, Atmane, Nemra, Abdelkrim, Boulahia, Said Yacine, Mascarilla, Laurent

“… In this direction, we proposed a Compact image Transformer based on convolutional variational Autoencoder with Augmented attention backbone (referred to AA-CiT…”
Získat plný text

Robust Spatial-Temporal Autoencoder for Unsupervised Anomaly Detection of Unmanned Aerial Vehicle With Flight Data Autor Jiang, Guoqian, Nan, Pengcheng, Zhang, Jingchao, Li, Yingwei, Li, Xiaoli

“… Specifically, we designed a new robust spatial-temporal autoencoder (RSTAE) model based on the temporal convolution network (TCN…”
Získat plný text

Deep Self-Supervised Graph Attention Convolution Autoencoder for Networks Clustering Autor Chen, Chao, Lu, Hu, Hong, Haotian, Wang, Hai, Wan, Shaohua

“… To solve this problem, we propose a Deep Self-Supervised Attention Convolution Autoencoder Graph Clustering (DSAGC…”
Získat plný text

ADAMAEX—Alzheimer’s disease classification via attention-enhanced autoencoders and XAI Autor Bootun, Doorgeshwaree, Auzine, Muhammad Muzzammil, Ayesha, Noor, Idris, Salma, Saba, Tanzila, Heenaye-Mamode Khan, Maleika

“… on a convolutional autoencoder with four convolutions in the encoder part and a Squeeze and Excitation block for channel attention applied…”
Získat plný text

Anomaly detection for real-world electric vehicle charging data using a convolutional autoencoder with multiscale convolution, attention mechanism, and BiLSTM Autor Liu, Zhibin, Li, Lei, Ding, Xiaoyin, Wang, Xia, Liu, Zhiheng, Wang, Yawen, Hu, Changpeng

“… To improve the detection of anomalies in complex EV charging data, this study proposes a method based on an enhanced convolutional autoencoder (CoAE), MA-BiLSTM-MCoAE…”
Získat plný text

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification Autor Singh, Prateek, Sharma, Ambalika

“… To achieve this, a novel attention-based convolutional denoising autoencoder (ACDAE) model is proposed that utilizes a skip-layer and attention module for reliable reconstruction of ECG signals from extreme noise conditions…”
Získat plný text

Novelty Detection and Analysis of Traffic Scenario Infrastructures in the Latent Space of a Vision Transformer-Based Triplet Autoencoder Autor Wurst, Jonas, Balasubramanian, Lakshman, Botsch, Michael, Utschick, Wolfgang

“…Detecting unknown and untested scenarios is crucial for scenario-based testing. Scenario-based testing is considered to be a possible approach to validate autonomous vehicles…”
Získat plný text

Deep learning-based algorithms for long-term prediction of chlorophyll-a in catchment streams Autor Abbas, Ather, Park, Minji, Baek, Sang-Soo, Cho, Kyung Hwa

“…•Attention based LSTM model can simulate and explain Chl-a behavior in surface water. Accurate estimation of harmful algal blooms is imperative for the protection of surface water. Chlorophyll-a (Chl…”
Získat plný text

Unsupervised detecting anomalies in multivariate time series by Robust Convolutional LSTM Encoder–Decoder (RCLED) Autor Le, Tuan, Vu, Hai Canh, Ponchet-Durupt, Amélie, Boudaoud, Nassim, Cherfi-Boulanger, Zohra, Nguyen-Trang, Thao

“… The autoencoder architecture consists of convolution, long short-term memory, and self-attention layers for better extraction of complex features from multivariate time series…”
Získat plný text

Graph attention autoencoder inspired CNN based brain tumor classification using MRI Autor Mishra, Lalita, Verma, Shekhar

“…•We propose GATE-CNN architecture for binary classification of brain tumor using MR (Magnetic Resonance) images.•We have implemented our model on three…”
Získat plný text

Multi-Localized Sensitive Autoencoder-Attention-LSTM For Skeleton-based Action Recognition Autor Ng, Wing, Zhang, Mingyang, Wang, Ting

“… In this work, we propose the Multi-Localized Sensitive Autoencoder-Attention-LSTM (Multi-LiSAAL) for SAR. The Localized Stochastic Sensitive Autoencoder…”
Získat plný text

Refined Multi-Focus image fusion using Multi-Scale neural network with SpSwin Autoencoder-based matting Autor Jiang, Shengchuan, Yu, Shanchuan

“…) Autoencoder-based matting for the multi-focus image fusion (MFIF) task. The proposed strategy introduces several innovations to enhance image quality and address challenges like boundary precision and texture preservation…”
Získat plný text

Traffic sign classification with deformable convolution based on denoising residual convolutional autoencoder region localization Autor Pan, Hao, Guo, Qianlu, Yuan, Decheng, Pan, Duotao, Li, Dong, Yu, Qianxin

“… Image classification methods based on convolution have been widely studied. Traditional convolution, due to its fixed sampling and operation mode, is difficult to capture information in specific irregular key areas…”
Získat plný text

IoT security using heuristic aided symmetric convolution-based deep temporal convolution network for intrusion detection by extracting multi-cascaded deep attention features Autor Latha, R., John Justin Thangaraj, Dr. S.

“…The successful expansion of the Internet of Things (IoT) has obtained cyber criminal’s attention more than ever…”
Získat plný text

A Dual Attention-Based Autoencoder Model for Fetal ECG Extraction From Abdominal Signals Autor Ghonchi, Hamidreza, Abolghasemi, Vahid

“… To address this problem, we propose a novel convolutional autoencoder (AE) network architecture to learn and extract the FECG patterns…”
Získat plný text