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ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ, 2023
DenseNet (плотно связанная сверточная сеть) - это плотная высокоточная нейронная сеть, предложенная в 2017 году. Успех сети ResNet показывает, что укороченные соединения в сверточных сетях позволяют обучать более глубокие и точные модели [1].
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DenseNet (плотно связанная сверточная сеть) - это плотная высокоточная нейронная сеть, предложенная в 2017 году. Успех сети ResNet показывает, что укороченные соединения в сверточных сетях позволяют обучать более глубокие и точные модели [1].
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Automatic Modulation Classification using DenseNet
2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP), 2021Wireless Communication over long distances has revolutionised the way world works, functions and interacts.Modulation of a signal containing information has made all this possible.The identification of modulation type of a signal forms an integral part in several military and civilian applications.While the classical approaches of modulation ...
Sameera Shaik, S. Kirthiga
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SIIM-ISIC Melanoma Classification With DenseNet
2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), 2021The mortality rate of melanoma is very high, but it can usually be cured by minor surgery. A Fast and accurate diagnosis can greatly benefit doctors and patients. In many medical fields, the performance of the recent deep-learning-based model is close to or even exceed the level of human experts.
Yiming Zhang, Chong Wang
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AutoML for DenseNet Compression
2019DenseNet, which connects each convolutional layer to all preceding layers, is a classic model of utilizing skip connections to improve the performance and learning efficiency of deep convolutional neural networks. However, many of the skip connections in DenseNet are redundant, which may lead to huge consumption of computational resources and computing
Wencong Jiao +3 more
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Face Spoofing Detection Using DenseNet
2021Today, face recognition is the most widely used biometric recognition technology. However, face recognition is a biometric method that is vulnerable to spoofing. Types of spoofing attack include print, replay, and 3D mask. Methods based on hand-crafted features such as local binary patterns which use high-frequency features of images, are therefore ...
Su-Gyeong Yu +3 more
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Malware visualization and detection using DenseNets
Personal and Ubiquitous Computing, 2021Rapid advancement in the sophistication of malware has posed a serious impact on the device connected over the Internet. Malware writing is driven by economic benefits; thus, an alarming increase in malware variants is witnessed. Recently, a large volume of malware attacks are reported on Internet of Things (IoT) networks; as these devices are exposed ...
V. Anandhi, P. Vinod, Varun G. Menon
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Remote Sensing Letters, 2019
This study introduces the attention mechanism in hyperspectral remote sensing image (HSI) classification which can strengthen the information provided by important features, and weaken the non-esse...
Guandong Li +5 more
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This study introduces the attention mechanism in hyperspectral remote sensing image (HSI) classification which can strengthen the information provided by important features, and weaken the non-esse...
Guandong Li +5 more
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Auto-DenseNet: DenseNet Optimization Method Based on Evolutionary Algorithm
2022 5th International Conference on Intelligent Autonomous Systems (ICoIAS), 2022Leilei Zhai +3 more
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An efficient way to refine DenseNet
Signal, Image and Video Processing, 2019DenseNet features dense connections between layers. Such an architecture is elegant but suffers memory-hungry and time-consuming. In this paper, we explore the relation between density of connections and performance of DenseNet (Huang et al., in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2017).
Xinjie Feng +2 more
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Accident Detection using DenseNet
2022 IEEE International Conference on Data Science and Information System (ICDSIS), 2022B Mitleshwar Rao +4 more
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