Fast Four-dimensional Cone-beam computed tomography reconstruction using deformable convolutional networks.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15806
Abstract: BACKGROUND Although 4D-CBCT is valuable to provide onboard image guidance for radiotherapy of moving targets, it requires a long acquisition time to achieve sufficient image quality for target localization. To improve the utility, it is… read more here.
Keywords: deformable convolutional; quality images; convolutional networks; feaco dcn ... See more keywords
Image Super-Resolution Using Multi-Scale Space Feature and Deformable Convolutional Network
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DOI: 10.1109/access.2021.3079519
Abstract: Recent researches on image super-resolution (SR) have achieved great progressing with the great development of convolutional neural networks (CNNs). However, existing CNNs usually adopt fixed filter structures and the convolutions just rely on the local… read more here.
Keywords: image super; resolution; scale space; multi scale ... See more keywords
Constructing 3D Object Detectors Based on Deformable Convolutional Guided Depths
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DOI: 10.1109/access.2024.3488748
Abstract: This paper introduces a depth-guided 3D object detection method that enhances the feature extraction capability of the backbone network through weak supervision. It combines large kernel convolution, global response normalization, and layer normalization techniques to… read more here.
Keywords: deformable convolutional; convolutional guided; constructing object; object detectors ... See more keywords
A 1-D Deformable Convolutional Neural Network for the Quantitative Analysis of Capnographic Sensor
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DOI: 10.1109/jsen.2020.3042989
Abstract: Capnography, the measurement of the concentration of carbon dioxide in exhaled air has the potential to provide insight into the diagnosis of many cardiopulmonary diseases. Our objective is to develop an effective deep learning algorithm… read more here.
Keywords: neural network; deformable convolutional; quantitative analysis; convolutional neural ... See more keywords
DCNet: A Deformable Convolutional Cloud Detection Network for Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3086584
Abstract: Recently, deep convolutional neural networks (CNNs) have made important progress in cloud detection with powerful representation learning capability and yield significant performance. However, most existing CNN-based cloud detection methods still face serious challenges because of… read more here.
Keywords: convolutional cloud; deformable convolutional; detection; detection network ... See more keywords
A Deformable Convolutional Neural Network for Video Super‐Resolution
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DOI: 10.1111/coin.70052
Abstract: Convolutional Neural Networks used deep architectures to achieve deep feature extraction in video super‐resolution. However, they suffered from challenges of rapid motion and complex scenes in video super‐resolution. In this paper, we present a deformable… read more here.
Keywords: convolutional neural; video super; super resolution; deformable convolutional ... See more keywords