Výsledky vyhledávání - "encoder–decoder structure"

Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation Autor Chen, Songnan, Tang, Mengxia, Dong, Ruifang, Kan, Jiangming

“…The semantic segmentation of outdoor images is the cornerstone of scene understanding and plays a crucial role in the autonomous navigation of robots. Although…”
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Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure Autor Cui, Haowei, Shi, Hanwen, Lu, Bao-Liang, Zheng, Wei-Long

“… Due to individual differences, emotion recognition performance of cross-subject models is significantly lower than that of subject-dependent models…”
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Automatic segmentation of white matter hyperintensities and correlation analysis for cerebral small vessel disease Autor Xu, Bin, Zhang, Xiaofeng, Tian, Congyu, Yan, Wei, Wang, Yuanqing, Zhang, Doudou, Liao, Xiangyun, Cai, Xiaodong

“…Cerebral white matter hyperintensity can lead to cerebral small vessel disease, MRI images in the brain are used to assess the degree of pathological changes…”
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A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI Autor Bahrami, Abass, Karimian, Alireza, Fatemizadeh, Emad, Arabi, Hossein, Zaidi, Habib

“…) is built upon a combination of the SegNet architecture (a 13‐layer encoder‐decoder structure similar to the U‐Net network…”
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Pose Recognition with Cascade Transformers Autor Li, Ke, Wang, Shijie, Zhang, Xiang, Xu, Yifan, Xu, Weijian, Tu, Zhuowen

“… Here we utilize the encoder-decoder structure in Transformers to perform regression-based person and keypoint detection that is general-purpose and requires less heuristic design compared with the existing approaches…”
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Focal cortical dysplasia lesion segmentation using multiscale transformer Autor Zhang, Xiaodong, Zhang, Yongquan, Wang, Changmiao, Li, Lin, Zhu, Fengjun, Sun, Yang, Mo, Tong, Hu, Qingmao, Xu, Jinping, Cao, Dezhi

“… Methods The core innovation of our proposed model is the integration of a convolutional neural network-based encoder-decoder structure with a multiscale transformer to augment the feature…”
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Cascade attention feature residual fusion network for iris localization and segmentation in non-cooperative environments Autor Guo, Shubin, Chen, Ying, Deng, Junkang, Chen, Huiling, Chen, Zhijie, He, Changle, Zhu, Xiaodong

“…•Proposed a cascade attention feature residual fusion network (CA-RFNet).•Deep convolutional residual blocks in the encoder to enhance feature representation…”
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Single-frame multi-exposure image fusion via narrowband filter decoupled imaging Autor Zhao, Zhuang, Ke, Xin, Han, Jing, Wu, Zijian, Lu, Jun, Bai, Lianfa, Gong, Shuaifeng, Zhang, Yan, Peng, Yong, Xiong, Fengchao, Wei, Duan

“… It can break through the physical imaging limitations inherent in photoelectric sensors. However, the single-camera multi-exposure method requires a time investment, while the multi-camera single-exposure approach is subject to imaging conditions…”
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Attention-based encoder-decoder networks for workflow recognition Autor Zhang, Min, Hu, Haiyang, Li, Zhongjin, Chen, Jie

“… In this paper, we propose a novel workflow recognition framework to recognize the behavior of working subjects based on the well-designed encoder-decoder structure…”
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Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition Autor Zhao, Changchen, Liu, Kai, Zheng, Hao, Song, Wenbo, Pei, Zhongcai, Chen, Weihai

“… First, the encoder-decoder structure is employed to enrich the channel diversity for the separation of the useful patterns from combined patterns…”
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Cross-Subject Cognitive Load Recognition in VR Using Multimodal Fusion with EEG and Eye-Tracking Autor Cheng, Shiwei, Dong, Jiaqi, Liu, Yang

“… Therefore, effective cognitive load design is crucial in VR, however, cross-subject cognitive load recognition using multimodal physiological signals remains a significant challenge…”
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Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation Autor Xie, Cong, Liu, Hualuo, Cao, Shilei, Wei, Dong, Ma, Kai, Wang, Liansheng, Zheng, Yefeng

“… Specifically, we introduce an extra encoder into the classic encoder-decoder structure to form a Siamese structure for the encoders, where one of them takes a target image as input (the image-encoder…”
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Small Sample Fault Diagnosis Based on Intrinsic Characteristic Encouraged Network for Unmanned Aerial Vehicle Sensors Autor Song, Jia, Wu, Boxuan, Zhao, Chaoyue, Shang, Weize, Liu, Yang, Li, Wenling

“…Fault detection and classification (FDC) of industrial sensors are commonly featured with rare fault cases and demanding diagnostic accuracy. Data-driven…”
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Attention mechanism‐based prediction of early tau accumulation using MRI Autor Kim, Jin‐Yang, Song, Yeong‐Hun, Lee, Wha Jin, Seong, Joon‐Kyung

“…Background Assessing tau accumulation in early affected areas like the lateral entorhinal cortex (EC) and inferior temporal gyrus (ITG) enables early…”
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Basic Science and Pathogenesis Autor Kim, Jin-Yang, Song, Yeong-Hun, Lee, Wha Jin, Seong, Joon-Kyung

“…Assessing tau accumulation in early affected areas like the lateral entorhinal cortex (EC) and inferior temporal gyrus (ITG) enables early prediction of…”
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A novel convolutional neural network with high convergence rate: Application to CT synthesis from MR images Autor Bahrami, Abbas, Karimian, Alireza, Fatemizadeh, Emad, Arabi, Hossein, Zaidi, Habib

“… This algorithm exploits a Visual Geometry Group (VGG16) model without fully connected layer coupled to a residual network in the form of encoder-decoder structure…”
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LARRES: A New Deep Learning Based Global Ionosphere Map Prediction Model With Large Receptive Field Autor Zhuang, Yonggai, Wang, Lei, Yang, Wenqing, Han, Yi, Yang, Fei, Shen, Nan, Zhou, Lv, Zheng, Yuefeng

“…Ionospheric delay poses significant challenges for satellite‐based communication and navigation applications. Predicting the global ionosphere variation can…”
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Deep Neural Networks for Precise Brain Tumor Delineation: A U-Net and TensorFlow Approach Autor Kundur, Niranjan C., Divakar, H. R., Khaiyum, Samitha, Rakshitha, Kiran P., Dhulavvagol, Praveen M., Meti, Anand S.

“…) using the U-Net model in TensorFlow. U-Net is well-suited for biomedical image segmentation due to its encoder-decoder structure and skip connections, which capture detailed information and spatial context…”
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EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech Autor Lee, Young-Eun, Lee, Seo-Hyun

“… Transformers implemented only with attention with encoder-decoder structure following seq2seq without using RNN, but had better performance than RNN…”
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EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion Autor Jin, Chang-Gyun, Kim, Seong-Eun

“… The encoder-decoder structure was used to reduce additive noise and subject variations of EEG data…”
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