Search Results - Encoder and Decoder Network

Encoder and decoder network with ResNet-50 and global average feature pooling for local change detection by Panda, Manoj Kumar, Sharma, Akhilesh, Bajpai, Vatsalya, Subudhi, Badri Narayan, Thangaraj, Veerakumar, Jakhetiya, Vinit

Get full text

Encoder–decoder network for pixel‐level road crack detection in black‐box images by Bang, Seongdeok, Park, Somin, Kim, Hongjo, Kim, Hyoungkwan

“…‐box images using a deep convolutional encoder–decoder network. The encoder consists of convolutional layers of the residual network for extracting crack features…”
Get full text

Two-stage convolutional encoder-decoder network to improve the performance and reliability of deep learning models for topology optimization by Ates, Gorkem Can, Gorguluarslan, Recep M.

“… In this study, a two-stage network model is proposed using convolutional encoder-decoder networks that incorporate a new way of loss functions to reduce the number of structural disconnection cases…”
Get full text

Automatic Extraction of Water and Shadow from SAR Images Based on a Multi-Resolution Dense Encoder and Decoder Network by Zhang, Peng, Chen, Lifu, Li, Zhenhong, Xing, Jin, Xing, Xuemin, Yuan, Zhihui

“…: the Gray Level Gradient Co-occurrence Matrix (GLGCM), the Encoder network, and the Decoder network…”
Get full text

A novel U‐shaped encoder–decoder network with attention mechanism for detection and evaluation of road cracks at pixel level by Chen, Jun, He, Ye

“…‐making of maintenance measures. This paper proposes a novel neural network for the detection and evaluation of road cracks at pixel level, which combines the advantage of encoding…”
Get full text

STEDNet: Swin transformer‐based encoder–decoder network for noise reduction in low‐dose CT by Zhu, Linlin, Han, Yu, Xi, Xiaoqi, Fu, Huijuan, Tan, Siyu, Liu, Mengnan, Yang, Shuangzhan, Liu, Chang, Li, Lei, Yan, Bin

“…Background Low‐dose computed tomography (LDCT) can reduce the dose of X‐ray radiation, making it increasingly significant for routine clinical diagnosis and…”
Get full text

A sigmoid‐optimized encoder–decoder network for crack segmentation with copy‐edit‐paste transfer learning by Çelik, Firdes, König, Markus

“… We provide an encoder–decoder‐based network with a particular interconnection…”
Get full text

Sclera-Net: Accurate Sclera Segmentation in Various Sensor Images Based on Residual Encoder and Decoder Network by Naqvi, Rizwan Ali, Loh, Woong-Kee

“…Sclera segmentation is revealed to be of noteworthy importance for ocular biometrics. The paramount step for biometric recognition methods is the segmentation…”
Get full text

Contextual encoder–decoder network for visual saliency prediction by Kroner, Alexander, Senden, Mario, Driessens, Kurt, Goebel, Rainer

“… The architecture forms an encoder–decoder structure and includes a module with multiple convolutional layers at different dilation rates to capture multi-scale features in parallel…”
Get full text

Video Summarization With Attention-Based Encoder-Decoder Networks by Ji, Zhong, Xiong, Kailin, Pang, Yanwei, Li, Xuelong

“… To this end, we propose a novel video summarization framework named attentive encoder-decoder networks for video summarization (AVS…”
Get full text

Surface weak scratch detection for optical elements based on a multimodal imaging system and a deep encoder-decoder network by Liang, Xiao, Sun, Jingshuang, Wang, Xuewei, Li, Jie, Zhang, Lianpeng, Guo, Jingbo

“… Second, a scratch-oriented U-shaped deep encoder-decoder network equipped with optimized residual encoding modules, serial-parallel multiscale fusion modules, and triple-convolution decoding…”
Get more information

A lightweight encoder–decoder network for automatic pavement crack detection by Zhu, Guijie, Liu, Jiacheng, Fan, Zhun, Yuan, Duan, Ma, Peili, Wang, Meihua, Sheng, Weihua, Wang, Kelvin C. P.

“… Thus, this paper proposes an efficient lightweight encoder–decoder network for automatically detecting pavement cracks at the pixel level…”
Get full text

ED-Dehaze Net: Encoder and Decoder Dehaze Network by Zhang, Hongqi, Wei, Yixiong, Zhou, Hongqiao, Wu, Qianhao

“… This paper proposes a novel end-to-end dehazing method, called Encoder and Decoder Dehaze Network (ED-Dehaze Net…”
Get full text

A Novel Approach to Fetal ECG Extraction Using Temporal Convolutional Encoder–Decoder Network (TCED-Net) by Huang, Haiping

“… First, based on the relationship between the maternal chest ECG signal and the maternal ECG component in the abdominal signal, the temporal convolutional encoder-decoder network (TCED-Net…”
Get full text

Predictive modelling of seismic wave fields: learning the transfer function using encoder–decoder networks by Klinge, Jana, Schippkus, Sven, Walda, Jan, Hadziioannou, Céline, Gajewski, Dirk

“… or where stations are temporarily offline. This study introduces a novel adaption of encoder–decoder networks from the subfield of deep learning, modified to predict the development of seismic wave fields between two seismic stations…”
Get full text

Deep Hierarchical Encoder-Decoder Network for Image Captioning by Xiao, Xinyu, Wang, Lingfeng, Ding, Kun, Xiang, Shiming, Pan, Chunhong

“…). The capacity of single-layer network, whose encoder and decoder are integrated together, is limited for such a complex task of image captioning…”
Get full text

Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification by Zhu, Yinhao, Zabaras, Nicholas

“…–decoder network in a similar fashion to approaches considered in deep learning for image-to-image regression tasks…”
Get full text

AdapNet: Adaptability Decomposing Encoder-Decoder Network for Weakly Supervised Action Recognition and Localization by Zhang, Xiao-Yu, Li, Changsheng, Shi, Haichao, Zhu, Xiaobin, Li, Peng, Dong, Jing

“… This article proposes a novel adaptability decomposing encoder-decoder network to transfer reliable knowledge between the trimmed and untrimmed videos for action…”
Get full text

DeepPET: A deep encoder–decoder network for directly solving the PET image reconstruction inverse problem by Häggström, Ida, Schmidtlein, C. Ross, Campanella, Gabriele, Fuchs, Thomas J.

“…•DeepPET is a deep neural network to reconstruct images directly from PET sinograms.•Reconstruction speed is 108 times faster compared to conventional techniques…”
Get full text

Encoder-decoder networks with guided transmission map for effective image dehazing: Encoder-decoder networks by Tran, Le-Anh, Park, Dong-Chul

“…A plain-architecture and effective image dehazing scheme, called Encoder-Decoder Network with Guided Transmission Map (EDN-GTM…”
Get full text