Suchergebnisse - "3D encoder–decoder architecture"

A novel lightweight 3D CNN for accurate deformation time series retrieval in MT-InSAR von Abdallah, Mahmoud, Ding, Xiaoli, Younis, Samaa, Wu, Songbo

“… Multi-temporal interferometric synthetic aperture radar (MT-InSAR) is a powerful geodetic technique for detecting and monitoring ground deformation over …”
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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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New multiple sclerosis lesion segmentation and detection using pre-activation U-Net von Ashtari, Pooya, Barile, Berardino, Van Huffel, Sabine, Sappey-Marinier, Dominique

“… In this paper, we propose Pre-U-Net, a 3D encoder-decoder architecture with pre-activation residual blocks, for the segmentation and detection of new MS lesions …”
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Exploring high-order correlation for hyperspectral image denoising with hypergraph convolutional network von Zhang, Jun, Tan, Yaoxin, Wei, Xiaohui

“… Specifically, our framework is a symmetrically skip-connected 3D encoder–decoder architecture, which enhances the extraction and utilization of local features …”
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Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation von Laura Mora Ballestar, Vilaplana, Veronica

“… This work proposes a 3D encoder-decoder architecture, based on V-Net \cite{vnet} which is trained with patching techniques to reduce memory consumption and decrease the effect of unbalanced data …”
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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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MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures von Laura Mora Ballestar, Vilaplana, Veronica

“… This work studies 3D encoder-decoder architectures trained with patch-based techniques to reduce memory consumption and decrease the effect of unbalanced data …”
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