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Работы, на которые ссылается эта работа
Работ: 33
Работа: Optimizing Fire Scene Analysis: Hybrid Convolutional Neural Network Model Leveraging Multiscale Feature and Attention Mechanisms
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Статья2016Цитирований: 61ABIMobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu +2
Препринт2018Цитирований: 17ABIRethinking the Inception Architecture for Computer Vision
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe +2
Статья2016Цитирований: 14ABIVery Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan, Andrew Zisserman
Статья2014Цитирований: 11ABIConvolutional Neural Networks Based Fire Detection in Surveillance Videos
Khan Muhammad, Jamil Ahmad, Irfan Mehmood +2
Статья2018Цитирований: 9ABIPyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke, Sam Gross, Francisco Massa +18
Статья2019Цитирований: 7ABIEfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Препринт2019Цитирований: 5ABIFire smoke detection algorithm based on motion characteristic and convolutional neural networks
Yanmin Luo, Liang Zhao, Peizhong Liu +1
Статья2017Цитирований: 4ABIMulti-Scale Prediction For Fire Detection Using Convolutional Neural Network
Myeongho Jeon, Han-Soo Choi, Junho Lee +1
Статья2021Цитирований: 3ABIConvolutional Neural Network Model for Fire Detection in Real-Time Environment
Abdul Rehman, Dongsun Kim, Anand Paul
Статья2023Цитирований: 2ABIAn Efficient Deep Learning Algorithm for Fire and Smoke Detection with Limited Data
Abdulaziz Namozov, Young Im Cho
Статья2018Цитирований: 2ABI