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A FCN Approach to Blockage Correction in Radars
2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2021Doppler weather radar is the most widely used convection detector with the highest resolution in the ground. Echo reflectance data from the weather radar is the key reference for the meteorological department to carry out severe convective weather forecast and early warning, quantitative precipitation estimation(QPE) and quantitative precipitation ...
Hao Wu 0088 +5 more
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HL-FCN: Hybrid loss guided FCN for colorectal cancer segmentation
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018Colorectal cancer is among the leading cause of cancer-related mortalities. The cancerous regions are conventionally delineated from 3D magnetic resonance images in a voxel-wise way for radiotherapy. To ease the manual labeling procedure, which is laborious and time-consuming, automatic segmentation methods are highly demanded in clinical practice ...
Yi-Jie Huang +7 more
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Flood detection by using FCN-AlexNet
Eleventh International Conference on Machine Vision (ICMV 2018), 2019Floods are the natural disasters which can give serious damage to properties, roads, vehicles and even people. These damages bring huge payload both to individuals and governments. Thus, a system which can detect floods at early stage and warn the related offices immediately will be very useful for public. Detecting flooding early can save human lives,
Keum-Young Son +3 more
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Proceedings of the International Conference on Computer-Aided Design, 2018
Unlike standard Convolutional Neural Networks (CNNs) with fully-connected layers, Fully Convolutional Neural Networks (FCN) are prevalent in computer vision applications such as object detection, semantic/image segmentation, and the most popular generative tasks based on Generative Adversarial Networks (GAN). In an FCN, traditional convolutional layers
Dawen Xu 0002 +5 more
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Unlike standard Convolutional Neural Networks (CNNs) with fully-connected layers, Fully Convolutional Neural Networks (FCN) are prevalent in computer vision applications such as object detection, semantic/image segmentation, and the most popular generative tasks based on Generative Adversarial Networks (GAN). In an FCN, traditional convolutional layers
Dawen Xu 0002 +5 more
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DF-PLSTM-FCN: A Method for Unmanned Driving Based on Dual-Fusions and Parallel LSTM-FCN
2020Learning algorithms are increasingly being applied to behavioral decision systems for unmanned vehicles. In multi-source road environments, it is one of the key technologies to solve the decision-making problem of driverless vehicles. This paper proposes a parallel network, called DF-PLSTM-FCN, which is composed of LSTM-FCN-variant and LSTM-FCN.
Meng Wei +3 more
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Ensemble R-FCN for Object Detection
2017This paper presents an Ensemble R-FCN framework for object detection. Specifically, we mainly make three contributions to our detection framework: (1) we augment the training images for R-FCN when facing the limited training samples and small object. (2) We further introduce several enhancement schemes to improve the performance of the single R-FCN. (3)
Jian Li, Jianjun Qian, Yuhui Zheng
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Laser Stark spectroscopy of FCN
Journal of Molecular Spectroscopy, 1977Abstract Using a CO 2 laser, Stark shifted resonances have been measured for the CF stretching fundamental ( ν 3 ) of FCN near 9.3 μm, and for two nearby “hot” bands. The band centers measured are 1076.492007 ± 0.000013 cm −1 for 00 0 1-00 0 0, 1085.741046 ± 0.000050 cm −1 for 01 1 1-01 1 0, and 1091.16222 ± 0.00015 cm −1 for 02 0 1-02 0 0. The
Arthur G. Maki, Samuel M. Freund
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The FCN Framework: Development and Applications
2009The Fuzzy Cognitive Network(FCN) framework is a proposition for the operational extension of fuzzy cognitive maps to support the close interaction with the system they describe and consequently become appropriate for adaptive decision making and control applications. They constitute a methodology for data, knowledge, and experience representation based
Yiannis S. Boutalis +2 more
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Reaktionen des fluorcyans, FCN
Journal of Fluorine Chemistry, 1981Abstract By reaction of cyanogen fluoride with fluorine compounds like COF 2 , SF 4 , SOF 4 and HF in the presence of nucleophilic catalysts the addition products CF 3 NCO, CF 3 NSF 2 , CF 3 NSOF 2 and CF 3 NH 2 could be obtained together with polymer and copolymer products of FCN.
Helmut Schachner, Wolfgang Sundermeyer
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Text Line Segmentation: A FCN Based Approach
2021Text line segmentation is a prerequisite for most of the document processing systems. However, for handwritten/warped documents, it is not straightforward to segment the text lines. This work proposes a learning-based text line segmentation method from document images.
Annie Minj, Arpan Garai, Sekhar Mandal
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