Results 21 to 30 of about 4,886 (174)
Results in Engineering, 2022 The process of synthesizing an image with objects in new pose angles other than input pose is known as Novel View Synthesis. Humans can visualize the objects in new poses by imagination.
Anupama V, A. Geetha Kiran
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Depthwise Separable Convolutions for Neural Machine Translation
CoRR, 2017 Depthwise separable convolutions reduce the number of parameters and computation used in convolutional operations while increasing representational efficiency. They have been shown to be successful in image classification models, both in obtaining better models than previously possible for a given parameter count (the Xception architecture) and ...
GOMEZ AIDAN NICHOLAS +2 more
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Deep Depthwise Separable Convolutional Network for Change Detection in Optical Aerial Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 In this article, a remote sensing image change detection method based on depthwise separable convolution with U-Net is proposed, which omits the tedious steps of generating and analyzing the difference map in the traditional remote sensing image change ...
Ruochen Liu +3 more
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Compressed dual‐channel neural network with application to image‐based smoke detection
IET Image Processing, 2022 Effective detection of smoke from visual scenes can play a vital role not only in industrial safety as an early warning system but also in forest fire prevention. However, it is difficult to detect smoke based on texture and color.
Jiedong Zhang +5 more
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Machines, 2022 Deep learning-related technologies have achieved remarkable success in the field of intelligent fault diagnosis. Nevertheless, the traditional intelligent diagnosis methods are often based on the premise of sufficient annotation signals and balanced ...
Biao Chen +4 more
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An Improvement for Capsule Networks Using Depthwise Separable Convolution [PDF]
, 2019 10 ...
Nguyen Huu Phong, Bernardete Ribeiro
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Traffic Scene Depth Analysis Based on Depthwise Separable Convolutional Neural Network
Journal of Electrical and Computer Engineering, 2019 In order to obtain the distances between the surrounding objects and the vehicle in the traffic scene in front of the vehicle, a monocular visual depth estimation method based on the depthwise separable convolutional neural network is proposed in this ...
Jianzhong Yuan +3 more
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Automatic Bridge Crack Detection Using a Convolutional Neural Network
Applied Sciences, 2019 Concrete bridge crack detection is critical to guaranteeing transportation safety. The introduction of deep learning technology makes it possible to automatically and accurately detect cracks in bridges.
Hongyan Xu +5 more
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Applied Sciences, 2022 In order to improve the accuracy of underwater object classification, according to the characteristics of sonar images, a classification method based on depthwise separable convolution feature fusion is proposed.
Wenjing Gong, Jie Tian, Jiyuan Liu
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Real-Time Image Super-Resolution Using Recursive Depthwise Separable Convolution Network
IEEE Access, 2019 In recent years, deep convolutional neural networks (CNNs) have been widely used for image super-resolution (SR) to achieve a range of sophisticated performances.
Kwok-Wai Hung +2 more
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