Results 11 to 20 of about 5,326,339 (296)
Optimization of Fully Convolutional Network for Road Safety Attribute Detection
IEEE Access, 2021 Even though, deep learning techniques demonstrate an outstanding performance in various applications, success of deep learning techniques depends upon appropriately setting their parameters in achieving most accurate results.
Pubudu Sanjeewani, Brijesh Verma
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Fully Convolutional Network Based Ship Plate Recognition [PDF]
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2018 Ship plate recognition is challenging due to variations of plate locations and text types. This paper proposes an effcient Fully Convolutional Network based Plate Recognition approach FCNPR, which uses a CNN (Convolutional Neural Network) to locate ships, then detects plate text lines with the fully convolutional network (FCN). The recognition accuracy
Haoyun Sun +5 more
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Evidential fully convolutional network for semantic segmentation [PDF]
Applied Intelligence, 2021 We propose a hybrid architecture composed of a fully convolutional network (FCN) and a Dempster-Shafer layer for image semantic segmentation. In the so-called evidential FCN (E-FCN), an encoder-decoder architecture first extracts pixel-wise feature maps from an input image.
Zheng Tong, Philippe Xu, Thierry Denoeux
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Journal of Bone OncologyBackground and objective: Pelvic bone tumors represent a harmful orthopedic condition, encompassing both benign and malignant forms. Addressing the issue of limited accuracy in current machine learning algorithms for bone tumor image segmentation, we ...
Shiqiang Wu +6 more
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Fully hyperbolic convolutional neural networks
Research in the Mathematical Sciences, 2022 Convolutional Neural Networks (CNN) have recently seen tremendous success in various computer vision tasks. However, their application to problems with high dimensional input and output, such as high-resolution image and video segmentation or 3D medical imaging, has been limited by various factors.
Keegan Lensink, Eldad Haber, Bas Peters
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Susceptibility-Guided Landslide Detection Using Fully Convolutional Neural Network
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Automatic landslide detection based on very high spatial resolution remote sensing images is crucial for disaster prevention and mitigation applications.
Yangyang Chen +7 more
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FaceDetectNet: face detection via fully-convolutional network [PDF]
Компьютерная оптика, 2019 Face detection is one of the most popular computer vision tasks. There are a lot of face detection approaches proposed including different CNN-based techniques, but the problem of optimal balancing between detection quality and computational speed is ...
Vladimir Gorbatsevich +2 more
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Biomolecules, 2021 Identifying localization of proteins and their specific subpopulations associated with certain cellular compartments is crucial for understanding protein function and interactions with other macromolecules. Fluorescence microscopy is a powerful method to
Kaisa Liimatainen +3 more
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Fully convolutional networks for semantic segmentation [PDF]
2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 to appear in PAMI (accepted May, 2016); journal edition of arXiv:1411 ...
Evan Shelhamer +2 more
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Automatic Segmentation of Prostate Cancer using cascaded Fully Convolutional Network [PDF]
E3S Web of Conferences, 2021 In this paper we proposed a prostate segmentation and also tumour detection using deep neural networks. The cutting-edge deep learning techniques are useful compared to the challenges of machine learning based feature extraction techniques.
Kora Padmavathi +6 more
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