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Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns
  Captured by Unmanned Aerial Systems

Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems

30 June 2023
U. Meleti
Abolfazl Razi
ArXiv (abs)PDFHTML

Papers citing "Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems"

11 / 11 papers shown
Title
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time
  Wildland Fire Smoke Detection
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection
Anshuman Dewangan
Yash Pande
Hans-Werner Braun
F. Vernon
Ismael Pérez
I. Altintas
G. Cottrell
M. H. Nguyen
49
49
0
16 Dec 2021
Aerial Imagery Pile burn detection using Deep Learning: the FLAME
  dataset
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
Alireza Shamsoshoara
Fatemeh Afghah
Abolfazl Razi
Liming Zheng
Peter Z Fulé
Erik P. Blasch
66
240
0
28 Dec 2020
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
209
18,224
0
28 May 2019
Recalibrating Fully Convolutional Networks with Spatial and Channel
  'Squeeze & Excitation' Blocks
Recalibrating Fully Convolutional Networks with Spatial and Channel 'Squeeze & Excitation' Blocks
Abhijit Guha Roy
Nassir Navab
Christian Wachinger
SSeg
124
381
0
23 Aug 2018
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
229
16,641
0
17 Jul 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,918
0
17 Apr 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,641
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,520
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
471
43,357
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.2K
150,433
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,575
0
04 Sep 2014
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