Suchergebnisse - attention encoder–decoder network

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

“… –decoding network and attention mechanism and can thus extract the crack pixels more accurately and efficiently …”
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Video Summarization With Attention-Based Encoder-Decoder Networks von 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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LAEDNet: A Lightweight Attention Encoder–Decoder Network for ultrasound medical image segmentation von Zhou, Quan, Wang, Qianwen, Bao, Yunchao, Kong, Lingjun, Jin, Xin, Ou, Weihua

“… This paper introduces a novel and efficient encoder–decoder network, called Lightweight Attention Encoder–Decoder Network (LAEDNet …”
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A Multilevel Encoder-Decoder Attention Network for Change Detection in Hyperspectral Images von Qu, Jiahui, Hou, Shaoxiong, Dong, Wenqian, Li, Yunsong, Xie, Weiying

“… In this article, we propose a multilevel encoder-decoder attention network (ML-EDAN), which allows the network to make full use of the hierarchical features for CD in HS images …”
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Recurrent attention encoder–decoder network for multi-step interval wind power prediction von Ye, Xiaoling, Liu, Chengcheng, Xiong, Xiong, Qi, Yinyi

“… This study proposes a recurrent attention encoder–decoder network for multi-step interval wind power forecasting, combining Numerical Weather Prediction (NWP …”
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MAENet: Multiple Attention Encoder-Decoder Network for Farmland Segmentation of Remote Sensing Images von Huan, Hai, Liu, Yuan, Xie, Yaqin, Wang, Chao, Xu, Dongdong, Zhang, Yi

“… Therefore, in this letter a semantic segmentation method-multiple attention encoder-decoder network (MAENet …”
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Precision Meets Speed: An Attention Encoder-Decoder Network for Deforestation Segmentation von Benvenuto, Giovana A., Negri, Rogerio G., Colnago, Marilaine, Frery, Alejandro C., Casaca, Wallace

“… This letter presents a novel attention-powered encoder-decoder neural network designed to address the key challenges in deforestation mapping, including scale heterogeneity, temporal dynamics …”
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CA-SegNet: A channel-attention encoder–decoder network for histopathological image segmentation von He, Feng, Wang, Weibo, Ren, Lijuan, Zhao, Yixuan, Liu, Zhengjun, Zhu, Yuemin

“… Histopathological image segmentation based on encoder–decoder architectures has emerged as a pivotal research area in medical image analysis …”
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Attention-Gate-Based Encoder-Decoder Network for Automatical Building Extraction von Deng, Wenjing, Shi, Qian, Li, Jun

“… It is hard to identify different scales of buildings by using a single receptive field. For this purpose, in this article, we use the stable encoder- decoder architecture …”
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CloudRaednet: residual attention-based encoder-decoder network for ground-based cloud images segmentation in nychthemeron von Shi, Chaojun, Zhou, Yatong, Qiu, Bo

“… This paper proposes a residual attention-based encoder-decoder network (CloudRAEDNet) for ground-based cloud image segmentation in nychthemeron …”
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Short-Term Campus Load Forecasting Using CNN-Based Encoder–Decoder Network with Attention von Ahmed, Zain, Jamil, Mohsin, Khan, Ashraf Ali

“… This dataset is used to formulate a multivariate time-series forecasting problem. A novel deep learning algorithm is presented, consisting of a 1D Convolutional Neural Network, which is followed by an encoder …”
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CSA-UNet: Channel-Spatial Attention-Based Encoder-Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery von Shi, Xu, Huang, Hong, Pu, Chunyu, Yang, Yinming, Xue, Jie

“… To address the above-mentioned problems, a channel-spatial attention-based encoder-decoder network (CSA-UNet …”
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Three-Dimensional Multifaceted Attention Encoder–Decoder Networks for Pulmonary Nodule Detection von Cao, Keyan, Tao, Hangbo, Wang, Zhongyang

“… for the prevention and treatment of lung cancer. In recent years, the development of neural networks has provided a new paradigm for creating computer-aided systems for pulmonary nodule detection …”
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Speed Adaptability Assessment of Railway Balise Transmission Module Using a Deep-Adaptive-Attention-Based Encoder-Decoder Network von Bian, Chong, Yang, Shunkun, Xu, Qingyang, Meng, Jinghui

“… Thus, a deep-adaptive-attention-based model is proposed in this article, which combines two enhanced attention mechanisms into the long short-term memory encoder-decoder network to thoroughly explore …”
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Ship Segmentation via Encoder-Decoder Network With Global Attention in High-Resolution SAR Images von Li, Jichao, Gou, Shuiping, Li, Ruimin, Chen, Jia-Wei, Sun, Xiaolong

“… In this letter, a 3-D atrous encoder-decoder neural network with global attention modules (GAM-EDNet) is proposed to achieve ship segmentation in SAR images …”
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AEDNet: An Attention-Based Encoder-Decoder Network for Urban Water Extraction From High Spatial Resolution Remote Sensing Images von Song, Yanjiao, Rui, Xiaoping, Li, Junjie

“… information, consequently affecting the accuracy of urban water extraction. To tackle this issue, an attention-based encoder-decoder network was proposed …”
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Pooling Attention-based Encoder–Decoder Network for semantic segmentation von Xu, Haixia, Huang, Yunjia, Hancock, Edwin R., Wang, Shuailong, Xuan, Qijun, Zhou, Wei

“… –Decoder network for image semantic segmentation using pooling SE-ResNet attention module, called PAEDN …”
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Multiple attention-based encoder–decoder networks for gas meter character recognition von Li, Weidong, Wang, Shuai, Ullah, Inam, Zhang, Xuehai, Duan, Jinlong

“… This paper provides multiple attention and encoder–decoder-based gas meter recognition networks (MAEDR) for this problem …”
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CAT-EDNet: Cross-Attention Transformer-Based Encoder-Decoder Network for Salient Defect Detection of Strip Steel Surface von Luo, Qiwu, Su, Jiaojiao, Yang, Chunhua, Gui, Weihua, Silven, Olli, Liu, Li

“… ) into the encoder-decoder network (EDNet). Besides, a cross-attention refinement module (CARM) is constructed closely after the decoder to further optimize the coarse saliency maps …”
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Using An Attention-Based LSTM Encoder-Decoder Network for Near Real-Time Disturbance Detection von Yuan, Yuan, Lin, Lei, Huo, Lian-Zhi, Kong, Yun-Long, Zhou, Zeng-Guang, Wu, Bin, Jia, Yan

“… An attention mechanism is integrated into the encoder-decoder model to align the input time series with the output time series and to dynamically choose the most relevant contextual information while forecasting …”
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