Dual-channel convolutional neural networkTransfer learningImage smoke detectionAlexNetImage smoke detection is a challenging task due to the difference of color, texture, and shape of smoke. In recent years, deep learning has greatly improved the performance of image classification and detection. In ...
Bo Wang2* and Gang Lin3 Abstract In view of the low accuracy and poor processing capacity of traditional power equipment image recognition methods, this paper proposes a power equipment image recognition method based on a dual-channel convolutional neural network (DC-CNN) model and random forest ...
Bo Wang2* and Gang Lin3 Abstract In view of the low accuracy and poor processing capacity of traditional power equipment image recognition methods, this paper proposes a power equipment image recognition method based on a dual-channel convolutional neural network (DC-CNN) model and random forest ...
This paper presents a new dual-channel convolutional neural network (CNN) which is designed to SAR image change detection to acquire higher detection accuracy and lower misclassification rate. This network model contains two parallel CNN structures, which can extract features from two multitemporal SAR...
Fake news detection mainly relies on the extraction of article content features with neural networks. However, it has brought some challenges to reduce the noisy data and redundant features, and learn the long-distance dependencies. To solve the above problems, Dual-channel Convolutional Neural Netwo...
Then the embedding vectors are fed as the inputs to the dual-channel network containing two network channels made up of convolutional neural network (CNN) and bidirectional long short term memory (BiLSTM) network. The intuition behind using CNN and BiLSTM in both the channels was to harness ...
[2]Zhou Yilu,Fu Xiaojin. Image Denoising Based on Dual-tree Complex Wavelet Transform and Convolutional Neural Network[J]. Journal of Physics: Conference Series,2021,1995(1). [3]Lei Wang,Zhiwen Liu,Hongrui Cao,Xin Zhang. Subband averaging kurtogram with dual-tree complex wavelet packet transform...
论文笔记:ICDM 2020 DGTN: Dual-channel Graph Transition Network for Session-based Recommendation,程序员大本营,技术文章内容聚合第一站。
we devise a new deep dual-channel neural network (DCNN) for smoke detection. In contrast to popular deep convolutional networks (e.g., Alex-Net, VGG-Net, Res-Net, and Dense-Net and the DNCNN that is specifically devoted to detecting smoke), our proposed end-to-end network is mainly com...
Recently, convolutional neural network (CNN) based methods have shown excellent performance for removing the JPEG artifacts. Lots of efforts have been made to deepen the CNNs and extract deeper features, while relatively few works pay attention to the receptive field of the network. In this paper...