Results 21 to 30 of about 11,064 (217)
Lightweight Deep Learning for Road Environment Recognition
Applied Sciences, 2022 With recent developments in the field of autonomous driving, recognition algorithms for road environments are being developed very rapidly. Currently, most of the network models have good recognition rates, but as the accuracy rate increases, the models ...
Han Liang, Suyoung Seo
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A Lightweight Recurrent Network for Sequence Modeling [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Recurrent networks have achieved great success on various sequential tasks with the assistance of complex recurrent units, but suffer from severe computational inefficiency due to weak parallelization. One direction to alleviate this issue is to shift heavy computations outside the recurrence.
Zhang, Biao, Sennrich, Rico
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DB-HRNet: Dual Branch High-Resolution Network for Human Pose Estimation
IEEE Access, 2023 High-resolution networks have demonstrated significant advantages in multi-scale feature extraction for human pose estimation task. However, this often leads to the problems of large network parameter quantity and high computational complexity.
Yanxia Wang, Renjie Wang, Hu Shi
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Lightweight machine unlearning in neural network
CoRR, 2021 In recent years, machine learning neural network has penetrated deeply into people's life. As the price of convenience, people's private information also has the risk of disclosure. The "right to be forgotten" was introduced in a timely manner, stipulating that individuals have the right to withdraw their consent from personal information processing ...
Kongyang Chen, Yiwen Wang, Yao Huang
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Lightweight Target-Aware Attention Learning Network-Based Target Tracking Method
Mathematics, 2022 Siamese network trackers based on pre-trained depth features have achieved good performance in recent years. However, the pre-trained depth features are trained in advance on large-scale datasets, which contain feature information of a large number of ...
Yanchun Zhao +4 more
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Lightweight thread tunnelling in network applications [PDF]
Computer Networks, 2002 Active Network nodes are increasingly being used for nontrivial processing of data streams. These complex network applications typically benefit from protection between their components for faulttolerance or security. However, fine-grained memory protection introduces bottlenecks in communication among components. This paper describes memory protection
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Lightweight Pyramid Networks for Image Deraining [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 Existing deep convolutional neural networks have found major success in image deraining, but at the expense of an enormous number of parameters. This limits their potential application, for example in mobile devices. In this paper, we propose a lightweight pyramid of networks (LPNet) for single image deraining.
Xueyang Fu +4 more
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A lightweight network anomaly detection technique
2017 International Conference on Computing, Networking and Communications (ICNC), 2017 While the network anomaly detection is essential in network operations and management, it becomes further challenging to perform the first line of detection against the exponentially increasing volume of network traffic. In this work, we develop a technique for the first line of online anomaly detection with two important considerations: (i ...
Jinoh Kim +4 more
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Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network
ISPRS International Journal of Geo-Information, 2022 Cloud and snow recognition technology is of great significance in the field of meteorology, and is also widely used in remote sensing mapping, aerospace, and other fields. Based on the traditional method of manually labeling cloud-snow areas, a method of
Chaoyun Yang +5 more
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IEEE Access, 2023 With the improvement of remote sensing image resolution, remote sensing image scene classification has become a major difficulty in the research of remote sensing Urban green space spatial layout and site selection.
Ding Fan +4 more
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