Results 1 to 10 of about 31,587 (214)
Image Super-Resolution Using Capsule Neural Networks
IEEE Access, 2020 Convolutional neural networks (CNNs) have been widely applied in super-resolution (SR) and other image restoration tasks. Recently, Hinton et al. proposed capsule neural networks to resolve the problem of viewpoint variations in image classification ...
Jui-Ting Hsu, Chih-Hung Kuo, De-Wei Chen
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Classification of Defective Fabrics Using Capsule Networks
Applied Sciences, 2022 Fabric quality has an important role in the textile sector. Fabric defect, which is a highly important factor that influences the fabric quality, has become a concept that researchers are trying to minimize. Due to the limited capacity of human resources,
Yavuz Kahraman, Alptekin Durmuşoğlu
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DGA CapsNet: 1D Application of Capsule Networks to DGA Detection
Information, 2019 Domain generation algorithms (DGAs) represent a class of malware used to generate large numbers of new domain names to achieve command-and-control (C2) communication between the malware program and its C2 server to avoid detection by cybersecurity ...
Daniel S. Berman
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Capsule graph networks for accurate and interpretable crystalline materials property prediction [PDF]
Journal of CheminformaticsAccurate and interpretable modeling of crystalline materials is essential for understanding the structure–property relationships in materials critical in accelerating materials discovery.
Eddah K. Sure, Xing Wu, Quan Qian
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From Auto-encoders to Capsule Networks: A Survey [PDF]
E3S Web of Conferences, 2021 Convolutional Neural Networks are a very powerful Deep Learning algorithm used in image processing, object classification and segmentation. They are very robust in extracting features from data and largely used in several domains.
El Alaoui-Elfels Omaima, Gadi Taoufiq
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IEEE Access, 2021 This work presents an investigation on Improved Extended Kalman Filter (IEKF) performance for induction motor drive without a speed sensor. The performance of a direct sensorless vector-controlled system through simulation and experimental work is tested.
Mohana Lakshmi Jayaramu +5 more
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Simplified Routing Mechanism for Capsule Networks
Algorithms, 2023 Classifying digital images using neural networks is one of the most fundamental tasks within the field of artificial intelligence. For a long time, convolutional neural networks have proven to be the most efficient solution for processing visual data ...
János Hollósi +2 more
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ICTACT Journal on Image and Video Processing, 2021 The text presented in videos contains important information for a wide range of vision-based applications. The key modules for extracting this information include detection of text followed by its recognition, which are the subject of our study.
Ahmed Tibermacine, Selmi Mohamed Amine
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Residual Vector Capsule: Improving Capsule by Pose Attention
IEEE Access, 2021 The convolutional neural network has significantly improved the accuracy of image recognition; however, it performs in a fragile manner when we apply viewpoint transformation or add noise to the image.
Ning Xie, Xiaoxia Wan
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UCaps Network Based on EM-Routing Algorithm for Medical Image Segmentation [PDF]
Jisuanji gongcheng, 2022 The existing medical image segmentation networks are limited in segmentation accuracy, and often lose image information as well as produce vague segmentation boundary.In this paper, we propose a multi-label image segmentation network named UCaps, which ...
WANG Wenxin, HE Yuhang, CHEN Gang
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