Suchergebnisse - 3D encoder–decoder architecture*

Encoder–Decoder Architecture for 3D Seismic Inversion von Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder–decoder architecture that efficiently processes the entire collection of hundreds …”
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Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization von Habijan, Marija, Galić, Irena, Leventić, Hrvoje, Romić, Krešimir

“… An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in …”
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Generating Land Cover Maps in Semi-arid Regions Based on a 3D Semantic Segmentation Architecture Using Multi-temporal Sentinel-2 Satellite Images: A Case Study of Ludhiana District in Punjab, India von Buttar, Preetpal Kaur, Sachan, Manoj Kumar

“… Using satellite imagery for land cover mapping is of utmost importance due to its role played in environmental management and protection, assessment of natural …”
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A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR von Abdallah, Mahmoud, Ding, Xiaoli, Younis, Samaa, Wu, Songbo

“… To address this limitation, we propose UNet-3D, a novel three-dimensional encoder-decoder architecture that captures the spatiotemporal …”
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SISR of Hyperspectral Remote Sensing Imagery Using 3D Encoder-Decoder RUNet Architecture von Aburaed, Nour, Alkhatib, Mohammed Q., Marshall, Stephen, Zabalza, Jaime, Ahmad, Hussain Al

“… This paper deals with SISR of HSI through the 3D expansion of Robust UNet (RUNet). The network is developed, trained, and tested over two datasets, and compared against the original 2D-RUNet and other state-of-the-art approaches …”
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Encoder-Decoder Architecture for 3D Seismic Inversion von Gelboim, Maayan, Adler, Amir, Sun, Yen, Araya-Polo, Mauricio

“… We implement and analyze a convolutional encoder-decoder architecture that efficiently processes the entire collection of hundreds …”
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Automatic Evaluation Method for Functional Movement Screening Based on Multi-Scale Lightweight 3D Convolution and an Encoder–Decoder von Lin, Xiuchun, Liu, Yichao, Feng, Chen, Chen, Zhide, Yang, Xu, Cui, Hui

“… To address this challenge, this paper proposes an automatic evaluation method for FMS based on a multi-scale lightweight 3D convolution encoder–decoder (ML3D-ED) architecture …”
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A dual encoder–decoder multi-task 3D deep learning framework for the segmentation of focal cortical dysplasia lesions von Niyas, S., Kesavadas, Chandrasekharan, Rajan, Jeny

“… We propose a novel 3D deep learning model employing a multi-view dual encoder–decoder architecture to precisely segment FCD lesions within MRI volumes …”
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Towards bi-directional skip connections in encoder-decoder architectures and beyond von Xiang, Tiange, Zhang, Chaoyi, Wang, Xinyi, Song, Yang, Liu, Dongnan, Huang, Heng, Cai, Weidong

“… •Our proposed methods established new benchmarks on a variety of 5 2D/3D datasets. [Display omitted] U-Net, as an encoder-decoder architecture with forward skip connections, has achieved promising results in various medical image analysis tasks …”
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An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds von Ji, Ankang, Chew, Alvin Wei Ze, Xue, Xiaolong, Zhang, Limao

“… To address this problem, this research proposes an encoder-decoder deep learning method combined with point cloud techniques for multi-class object segmentation, including seepage, from 3D tunnel point clouds …”
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Automatic Crack Detection on Road Pavements Using Encoder-Decoder Architecture von Fan, Zhun, Li, Chong, Chen, Ying, Wei, Jiahong, Loprencipe, Giuseppe, Chen, Xiaopeng, Di Mascio, Paola

“… Automatic crack detection from images is an important task that is adopted to ensure road safety and durability for Portland cement concrete (PCC) and asphalt …”
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Deep Encoder-Decoder Adversarial Reconstruction (DEAR) Network for 3D CT from Few-View Data von Xie, Huidong, Shan, Hongming, Wang, Ge

“… In this paper, we propose a deep encoder-decoder adversarial reconstruction (DEAR) network for 3D CT image reconstruction from few-view data …”
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A Novel Spatio-Temporal 3D Convolutional Encoder-Decoder Network for Dynamic Saliency Prediction von Li, Hao, Qi, Fei, Shi, Guangming

“… In this paper, a novel 3D convolutional encoder-decoder architecture is proposed for saliency prediction on dynamic scenes …”
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Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction von Shakya, Mahesh, Khanal, Bishesh

“… Various deep learning models have been proposed for 3D bone shape reconstruction from two orthogonal (biplanar) X-ray images …”
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Uni MS-PS: A multi-scale encoder-decoder transformer for universal photometric stereo von Hardy, Clément, Quéau, Yvain, Tschumperlé, David

“… Our method employs a multi-scale encoder–decoder architecture based on Transformers that allows to accommodates images of any resolutions as well as varying number of input images …”
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A novel hybrid layer-based encoder–decoder framework for 3D segmentation in congenital heart disease von Zhu, Yaoxi, Li, Hongbo, Cao, Bingxin, Huang, Kun, Liu, Jinping

“… –decoder framework for 3D CHD image segmentation. The model incorporates a global volume mixing module and a local volume-based multihead attention module, which uses …”
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Shuffle in 3D: A Lightweight Architecture for Stereo Matching von Xiao, Jianqiang, Yamane, Satoshi

“… The deep learning-based stereo matching approaches commonly construct 3D cost volume with a Siamese network, and the 3D encoder-decoder architectures regularize 3D cost volume to generate disparity as output …”
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Dual attention-based deep learning network for multi-class object semantic segmentation of tunnel point clouds von Ji, Ankang, Zhang, Limao, Fan, Hongqin, Xue, Xiaolong, Dou, Yudan

“… discrepancies and enhance local features, after which the processed data are input into the built network layers based on the encoder-decoder architecture coupled with an improved 3D dual attention module to extract and learn features …”
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HEDN: multi-oriented hierarchical extraction and dual-frequency decoupling network for 3D medical image segmentation von Wang, Yu, Huang, Guoheng, Lu, Zeng, Wang, Ying, Chen, Xuhang, Yuan, Xiaochen, Li, Yan, Liu, Jieni, Huang, Yingping

“… Previous 3D encoder-decoder segmentation architectures struggled with fine-grained feature decomposition, resulting in unclear feature hierarchies when fused across layers …”
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TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers von Chen, Jieneng, Mei, Jieru, Li, Xianhang, Lu, Yongyi, Yu, Qihang, Wei, Qingyue, Luo, Xiangde, Xie, Yutong, Adeli, Ehsan, Wang, Yan, Lungren, Matthew P., Zhang, Shaoting, Xing, Lei, Lu, Le, Yuille, Alan, Zhou, Yuyin

“… Medical image segmentation is crucial for healthcare, yet convolution-based methods like U-Net face limitations in modeling long-range dependencies. To address …”
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