Search Results - Encoder–decoder~

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…”
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Multivariate time series forecasting via attention-based encoder–decoder framework by Du, Shengdong, Li, Tianrui, Yang, Yan, Horng, Shi-Jinn

“… In this paper, we firstly propose a novel temporal attention encoder–decoder model to deal with the multivariate time series forecasting problem…”
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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…”
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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…”
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Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification by Zhu, Yinhao, Zabaras, Nicholas

“…We are interested in the development of surrogate models for uncertainty quantification and propagation in problems governed by stochastic PDEs using a deep convolutional encoder…”
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Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network by Chen, Hu, Zhang, Yi, Kalra, Mannudeep K., Lin, Feng, Chen, Yang, Liao, Peixi, Zhou, Jiliu, Wang, Ge

“… while keeping structural details. Inspired by the idea of deep learning, here we combine the autoencoder, deconvolution network, and shortcut connections into the residual encoder-decoder convolutional neural network (RED-CNN…”
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation by Badrinarayanan, Vijay, Kendall, Alex, Cipolla, Roberto

“…We present a novel and practical deep fully convolutional neural network architecture for semantic pixel-wise segmentation termed SegNet. This core trainable…”
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Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries by Bappy, Jawadul H., Simons, Cody, Nataraj, Lakshmanan, Manjunath, B. S., Roy-Chowdhury, Amit K.

“…) cells, and an encoder-decoder network to segment out manipulated regions from non-manipulated ones…”
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EDRNet: Encoder-Decoder Residual Network for Salient Object Detection of Strip Steel Surface Defects by Song, Guorong, Song, Kechen, Yan, Yunhui

“… To address these issues, we propose a novel saliency detection method based on Encoder-Decoder Residual network (EDRNet…”
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Machine translation of cortical activity to text with an encoder-decoder framework by Makin, Joseph G, Moses, David A, Chang, Edward F

“…A decade after speech was first decoded from human brain signals, accuracy and speed remain far below that of natural speech. Here we show how to decode the…”
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Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture by Wang, Zhumei, Su, Xing, Ding, Zhiming

“…: the long short-term memory encoder-decoder structure at the bottom and the calibration layer at the top…”
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Exchanging Dual Encoder-Decoder: A New Strategy for Change Detection with Semantic Guidance and Spatial Localization by Zhao, Sijie, Zhang, Xueliang, Xiao, Pengfeng, He, Guangjun

“… However, the widely used multiple encoder and single decoder (MESD) as well as dual encoder-decoder (DED…”
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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…”
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High-Resolution Encoder-Decoder Networks for Low-Contrast Medical Image Segmentation by Zhou, Sihang, Nie, Dong, Adeli, Ehsan, Yin, Jianping, Lian, Jun, Shen, Dinggang

“… segmentation, mainly based on the skip-connection-linked encoder-decoder deep architectures. However, in many applications…”
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Deep Hierarchical Encoder-Decoder Network for Image Captioning by Xiao, Xinyu, Wang, Lingfeng, Ding, Kun, Xiang, Shiming, Pan, Chunhong

“…Encoder-decoder models have been widely used in image captioning, and most of them are designed via single long short term memory (LSTM…”
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Encoder–decoder with pyramid region attention for pixel‐level pavement crack recognition by Yao, Hui, Liu, Yanhao, Lv, Haotian, Huyan, Ju, You, Zhanping, Hou, Yue

“…Timely and accurate extraction of pavement crack information is crucial to maintain service conditions and structural safety for infrastructures and reduce…”
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Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media by Mo, Shaoxing, Zhu, Yinhao, Zabaras, Nicholas, Shi, Xiaoqing, Wu, Jichun

“… In this paper, we propose a deep convolutional encoder‐decoder neural network methodology to tackle these issues…”
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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…”
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SEDRFuse: A Symmetric Encoder-Decoder With Residual Block Network for Infrared and Visible Image Fusion by Jian, Lihua, Yang, Xiaomin, Liu, Zheng, Jeon, Gwanggil, Gao, Mingliang, Chisholm, David

“… In this article, we propose a symmetric encoder-decoder with residual block (SEDRFuse) network to fuse infrared and visible images for night vision applications…”
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A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction by Li, Fa, Gui, Zhipeng, Zhang, Zhaoyu, Peng, Dehua, Tian, Siyu, Yuan, Kunxiaojia, Sun, Yunzeng, Wu, Huayi, Gong, Jianya, Lei, Yichen

“…•A hierarchical temporal attention based model is proposed to support short-term and long-term human mobility sequence prediction.•The proposed hierarchical…”
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