Results 41 to 50 of about 1,980,897 (317)
DeepSat V2: feature augmented convolutional neural nets for satellite image classification [PDF]
Remote Sensing Letters, 2019 Satellite image classification is a challenging problem that lies at the crossroads of remote sensing, computer vision, and machine learning. Due to the high variability inherent in satellite data, most of the current object classification approaches are
Qun Liu +6 more
semanticscholar +1 more source
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features [PDF]
International Conference on Language Resources and Evaluation, 2017 In recent years, (retro-)digitizing paper-based files became a major undertaking for private and public archives as well as an important task in electronic mailroom applications.
Gregor Wiedemann, Gerhard Heyer
semanticscholar +1 more source
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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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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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
doaj +1 more source
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
doaj +1 more source
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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BA-Net: Bridge Attention for Deep Convolutional Neural Networks
, 2022 In recent years, channel attention mechanism has been widely investigated due to its great potential in improving the performance of deep convolutional neural networks (CNNs) in many vision tasks. However, in most of the existing methods, only the output of the adjacent convolution layer is fed into the attention layer for calculating the channel ...
Yue Zhao 0040 +3 more
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2.5D MFFAU-Net: a convolutional neural network for kidney segmentation
BMC Medical Informatics and Decision Making, 2023 AbstractBackgroundKidney tumors have become increasingly prevalent among adults and are now considered one of the most common types of tumors. Accurate segmentation of kidney tumors can help physicians assess tumor complexity and aggressiveness before surgery.
Peng Sun +7 more
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