Results 31 to 40 of about 4,843,262 (245)
Canadian Journal of Remote Sensing, 2021 High-resolution images exhibit wide field of vision, high background complexity, special angle of view, rotation, and small objects, thus making automatic object detection a challenging problem. Recently, this problem has been studied by many researchers
Lianyu Cao, Xiaolu Zhang, Zhaoshun Wang
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DE-DARTS: Neural architecture search with dynamic exploration
ICT Express, 2023 Neural architecture search (NAS) methods automatically find optimal neural networks without human assistance. Numerous algorithms for NAS have been studied to find architectures with gradient-based search.
Jiwoo Mun, Seokhyeon Ha, Jungwoo Lee
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Topology-Sensitive Neural Architecture Search for Language Modeling
IEEE Access, 2021 Recently Neural Architecture Search has drawn interest from researchers because of its ability to learn neural network architectures from data automatically.
Quan Du +4 more
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BaLeNAS:Differentiable Architecture Search via the Bayesian Learning Rule [PDF]
, 2022 Differentiable Architecture Search (DARTS) has received massive attention in recent years, mainly because it significantly reduces the computational cost through weight sharing and continuous relaxation.
Zhang, Miao +13 more
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IET Computer Vision, 2022 Although YOLOv4 has a high detection accuracy, its backbone network CSPDarknet53 requires a large number of parameters, which reduces the inference speed of the detection network to some extent.
Zhiqiang Xing, Xi Chen, Fengqian Pang
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A hybrid neural architecture search for hyperspectral image classification
Frontiers in Physics, 2023 Convolution neural network (CNN)is widely used in hyperspectral image (HSI) classification. However, the network architecture of CNNs is usually designed manually, which requires careful fine-tuning.
Aili Wang +4 more
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Applied Sciences, 2021 The current evolution of deep learning requires further optimization in terms of accuracy and time. From the perspective of new requirements, AutoML is an area that could provide possible solutions.
Ha Yoon Song
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DIFFERENTIABLE ARCHITECTURE SEARCH FOR KEYWORD SPOTTING [PDF]
, 2020 With the popularity of smart mobile devices, the need to control mobile devices using voice is increasing. Also, there is greater expectation for the accuracy of keyword spotting. Many existing researches have applied neural networks to keyword spotting,
Mo,Tong
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EM-DARTS: Hierarchical Differentiable Architecture Search for Eye Movement Recognition
Eye movement biometrics has received increasing attention thanks to its highly secure identification. Although deep learning (DL) models have shown success in eye movement recognition, their architectures largely rely on human prior knowledge ...
Yu, Xin +5 more
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CR-DARTS: Channel Redistribution-Based Differentiable Architecture Search
IEEE AccessDifferentiable Architecture Search (DARTS) has shown promising results in automating the design of deep learning models. However, its search process is computationally expensive because it evaluates all candidate operations simultaneously, often leading ...
Ali Hassan +3 more
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