Search Results - "encoder-decoder structure"

Encoder–Decoder Structure Fusing Depth Information for Outdoor Semantic Segmentation by 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…”
Get full text

Improving Cross-Subject Emotion Recognition Performance with an Encoder-Decoder Structure by 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…”
Get full text

Automatic segmentation of white matter hyperintensities and correlation analysis for cerebral small vessel disease by 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…”
Get full text

A new deep convolutional neural network design with efficient learning capability: Application to CT image synthesis from MRI by 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…”
Get full text

Pose Recognition with Cascade Transformers by 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…”
Get full text

Focal cortical dysplasia lesion segmentation using multiscale transformer by 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…”
Get full text

Cascade attention feature residual fusion network for iris localization and segmentation in non-cooperative environments by 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…”
Get full text

Single-frame multi-exposure image fusion via narrowband filter decoupled imaging by 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…”
Get full text

Attention-based encoder-decoder networks for workflow recognition by 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…”
Get full text

Cross-Modality Self-Attention and Fusion-Based Neural Network for Lower Limb Locomotion Mode Recognition by 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…”
Get full text

Cross-Subject Cognitive Load Recognition in VR Using Multimodal Fusion with EEG and Eye-Tracking by 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…”
Get full text

Learning Shape Priors by Pairwise Comparison for Robust Semantic Segmentation by 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…”
Get full text

Small Sample Fault Diagnosis Based on Intrinsic Characteristic Encouraged Network for Unmanned Aerial Vehicle Sensors by 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…”
Get full text

Attention mechanism‐based prediction of early tau accumulation using MRI by 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…”
Get full text

Basic Science and Pathogenesis by 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…”
Get full text

A novel convolutional neural network with high convergence rate: Application to CT synthesis from MR images by 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…”
Get full text

LARRES: A New Deep Learning Based Global Ionosphere Map Prediction Model With Large Receptive Field by 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…”
Get full text

Deep Neural Networks for Precise Brain Tumor Delineation: A U-Net and TensorFlow Approach by 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…”
Get full text

EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech by 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…”
Get full text

EEG-based Mental Workload Estimation using Encoder-Decoder Networks with Multilevel Feature Fusion by Jin, Chang-Gyun, Kim, Seong-Eun

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