Results 231 to 240 of about 25,441 (258)

Zebra crossing segmentation based on dilated convolutions

2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE), 2021
Zebra crossing segmentation is an important part of blind navigation. In this paper, We proposed a method based on Dilated Convolution Neural Network for accurate recognition of zebra crossing. The Dilated Convolution Neural Network is used to automatically identify all the regions that meet the characteristics of zebra crossing.
Huanran Wang, Kaifan Sun, Yixin Wang
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DCSR: Dilated Convolutions for Single Image Super-Resolution

IEEE Transactions on Image Processing, 2019
Dilated convolutions support expanding receptive field without parameter exploration or resolution loss, which turn out to be suitable for pixel-level prediction problems. In this paper, we propose multiscale single image super-resolution (SR) based on dilated convolutions.
Zhendong Zhang, Xinran Wang, Cheolkon Jung   +2 more
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Retinal-Layer Segmentation Using Dilated Convolutions

2019
Visualization and analysis of Spectral Domain Optical Coherence Tomography (SD-OCT) cross-sectional scans has gained a lot of importance in the diagnosis of several retinal abnormalities. Quantitative analytic techniques like retinal thickness and volumetric analysis are performed on cross-sectional images of the retina for early diagnosis and ...
T. Guru Pradeep Reddy, Kandiraju Sai Ashritha, T. M. Prajwala, G. N. Girish, Abhishek R. Kothari, Shashidhar G. Koolagudi, Jeny Rajan   +6 more
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Streaming Dilated Convolution Engine

IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
Dionysios Filippas, Chrysostomos Nicopoulos, Giorgos Dimitrakopoulos   +2 more
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Multi-scale dilated convolution of convolutional neural network for crowd counting

Multimedia Tools and Applications, 2019
Growing numbers of crowd density estimation methods have been developed in scene monitoring, crowd safety and on-site management scheduling. We proposed a method for density estimation of a single static image based on convolutional neural network naming Multi-scale Dilated Convolution of Convolutional Neural Network (Multi-scale-CNN).
Yanjie Wang, Shiyu Hu, Guodong Wang, Chenglizhao Chen, Zhenkuan Pan   +4 more
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Deep Convolutional Neural Network with Dilated Convolution Using Small Size Dataset

2019 Chinese Control Conference (CCC), 2019
Since Alex Krizhevsky won the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012 competition by building a very intelligent deep convolutional neural network (D-CNNs), more and more researchers have been engaged in the research and development of deep convolutional neural network (D-CNNs).
Shengwei Zhou, Caikou Chen, Guojiang Han, Xielian Hou   +3 more
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Dilated-CBAM: An Efficient Attention Network with Dilated Convolution

2021 IEEE International Conference on Unmanned Systems (ICUS), 2021
Junyan Yang, Jie Jiang
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A Lightweight Neural Network Combining Dilated Convolution and Depthwise Separable Convolution

2020
Aimed to reduce the excessive cost of neural network, this paper proposes a lightweight neural network combining dilated convolution and depthwise separable convolution. Firstly, the dilated convolution is used to expand the receptive field during the convolution process while maintaining the number of convolution parameters, which can extract more ...
Wei Sun, Xijie Zhou, Xiaorui Zhang, Xiaozheng He   +3 more
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Dilated convolutional neural network for WSD

AIP Conference Proceedings, 2022
S. Rajini, A. Vasuki
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Mesh Classification With Dilated Mesh Convolutions

2021 IEEE International Conference on Image Processing (ICIP), 2021
Vinit Veerendraveer Singh, Shivanand Venkanna Sheshappanavar, Chandra Kambhamettu   +2 more
openaire   +1 more source