Results 21 to 30 of about 1,532,152 (301)
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation [PDF]
2021 Digital Image Computing: Techniques and Applications (DICTA), 2021 Over recent years, increasingly complex approaches based on sophisticated convolutional neural network architectures have been slowly pushing performance on well-established benchmark datasets. In this paper, we take a step back to examine the real need for such complexity.
Tariq Mahmood Khan +2 more
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Communication-Optimal Convolutional Neural Nets
CoRR, 2018 Efficiently executing convolutional neural nets (CNNs) is important in many machine-learning tasks. Since the cost of moving a word of data, either between levels of a memory hierarchy or between processors over a network, is much higher than the cost of an arithmetic operation, minimizing data movement is critical to performance optimization.
James Demmel, Grace Dinh
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Multi‐objective single‐shot neural architecture search via efficient convolutional filters
Electronics Letters, 2023 This paper presents a novel approach for fast neural architecture search (NAS) in Convolutional Neural Networks (CNNs) for end‐to‐end License Plate Recognition (LPR).
Seyed Mahdi Shariatzadeh +2 more
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Convolutional neural networks for medical image processing applications
, 2022 The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare.
Öztürk Ş.
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Cloud-based video analytics using convolutional neural networks. [PDF]
, 2018 Object classification is a vital part of any video analytics system, which could aid in complex applications such as object monitoring and management.
Anjum, Ashiq +3 more
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Vehicle Re-identification method based on Swin-Transformer network
Array, 2022 Vehicle Re-identification is to find out the exact vehicle captured by other cameras given a vehicle image. In natural traffic surveillance systems, vehicle re-identification can play a role in target vehicles localization, supervision, and criminal ...
Jianrong Li +4 more
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Neural waves and computation in a neural net model I: Convolutional hierarchies
Journal of Computational Neuroscience, 2023 Abstract The computational resources of a neuromorphic network model introduced earlier are investigated in the context of such hierarchical systems as the mammalian visual cortex. It is argued that a form of ubiquitous spontaneous local convolution, driven by spontaneously arising wave-like activity---which itself promotes local ...
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Efficient ear alignment using a two‐stack hourglass network
IET Biometrics, 2023 Ear images have been shown to be a reliable modality for biometric recognition with desirable characteristics, such as high universality, distinctiveness, measurability and permanence. While a considerable amount of research has been directed towards ear
Anja Hrovatič +3 more
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High‐precision skeleton‐based human repetitive action counting
IET Computer Vision, 2023 A novel counting model is presented by the authors to estimate the number of repetitive actions in temporal 3D skeleton data. As per the authors’ knowledge, this is the first work of this kind using skeleton data for high‐precision repetitive action ...
Chengxian Li +3 more
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C-Net: A reliable convolutional neural network for biomedical image classification [PDF]
Expert Systems with Applications, 2022 Cancers are the leading cause of death in many countries. Early diagnosis plays a crucial role in having proper treatment for this debilitating disease. The automated classification of the type of cancer is a challenging task since pathologists must examine a huge number of histopathological images to detect infinitesimal abnormalities.
Hosein Barzekar, Zeyun Yu
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