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32 ta ish

Ish: An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems

  1. ImageNet classification with deep convolutional neural networks

    Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton

    Maqola201723 iqtibos
    ABI

  2. Automatic Fire and Smoke Detection Method for Surveillance Systems Based on Dilated CNNs

    Yakhyokhuja Valikhujaev, Akmalbek Abdusalomov, Young Im Cho

    Maqola202017 iqtibos
    ABI

  3. Very Deep Convolutional Networks for Large-Scale Image Recognition

    Karen Simonyan, Andrew Zisserman

    Maqola201411 iqtibos
    ABI

  4. Fire detection using statistical color model in video sequences

    Turgay Çelik, Hasan Demirel, Hüseyin Özkaramanlı +1

    Maqola20079 iqtibos
    ABI

  5. Convolutional Neural Networks Based Fire Detection in Surveillance Videos

    Khan Muhammad, Jamil Ahmad, Irfan Mehmood +2

    Maqola20189 iqtibos
    ABI

  6. Sarlavhasiz

    Boshqa8 iqtibos
    ABI

  7. Automatic fire pixel detection using image processing: a comparative analysis of rule-based and machine learning-based methods

    Tom Toulouse, Lucile Rossi, Turgay Çelik +1

    Maqola20157 iqtibos
    ABI

  8. Spatio-Temporal Flame Modeling and Dynamic Texture Analysis for Automatic Video-Based Fire Detection

    Kosmas Dimitropoulos, Panagiotis Barmpoutis, Nikos Grammalidis

    Maqola20147 iqtibos
    ABI

  9. A Video-Based Fire Detection Using Deep Learning Models

    Byoungjun Kim, Joonwhoan Lee

    Maqola20197 iqtibos
    ABI

  10. Detection of Wildfire Smoke Images Based on a Densely Dilated Convolutional Network

    Tingting Li, Enting Zhao, Junguo Zhang +1

    Maqola20197 iqtibos
    ABI

  11. Image fire detection algorithms based on convolutional neural networks

    Pu Li, Wangda Zhao

    Maqola20207 iqtibos
    ABI

  12. SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention

    Rui Ba, Chen Chen, Jing Yuan +2

    Maqola20196 iqtibos
    ABI

  13. Two-Step Real-Time Night-Time Fire Detection in an Urban Environment Using Static ELASTIC-YOLOv3 and Temporal Fire-Tube

    MinJi Park, Byoung Chul Ko

    Maqola20206 iqtibos
    ABI

  14. Using Popular Object Detection Methods for Real Time Forest Fire Detection

    Shixiao Wu, Libing Zhang

    Maqola20185 iqtibos
    ABI

  15. Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis

    Hongyi Pan, Diaa Badawi, Ahmet Enis Çetin

    Maqola20205 iqtibos
    ABI

  16. Efficient Flame Detection Based on Static and Dynamic Texture Analysis in Forest Fire Detection

    C. Emmy Prema, S.S. Vinsley, S. Suresh

    Maqola20175 iqtibos
    ABI

  17. AdViSED: Advanced Video SmokE Detection for Real-Time Measurements in Antifire Indoor and Outdoor Systems

    Alessio Gagliardi, Sergio Saponara

    Maqola20205 iqtibos
    ABI

  18. Early Fire Detection Based on Aerial 360-Degree Sensors, Deep Convolution Neural Networks and Exploitation of Fire Dynamic Textures

    Panagiotis Barmpoutis, Tania Stathaki, Kosmas Dimitropoulos +1

    Maqola20205 iqtibos
    ABI

  19. Large Space Fire Image Processing of Improving Canny Edge Detector Based on Adaptive Smoothing

    Qin Jiang, Qiang Wang

    Maqola20104 iqtibos
    ABI

  20. Fire smoke detection algorithm based on motion characteristic and convolutional neural networks

    Yanmin Luo, Liang Zhao, Peizhong Liu +1

    Maqola20174 iqtibos
    ABI

  21. Computer Vision

    Richard Szeliski

    Kitob20104 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa4 iqtibos
    ABI

  23. Contour Based Forest Fire Detection Using FFT and Wavelet

    Zhong Zhang, Jianhui Zhao, Dengyi Zhang +3

    Maqola20083 iqtibos
    ABI

  24. A Forest Fire Detection System Based on Ensemble Learning

    Renjie Xu, Haifeng Lin, Kangjie Lu +2

    Maqola20213 iqtibos
    ABI

  25. Vision based monitoring and characterisation of combustion flames

    Gang Lu, Guillermo Gilabert, Yong Yan

    Maqola20052 iqtibos
    ABI