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An FPGA smart camera implementation of segmentation models for drone
  wildfire imagery

An FPGA smart camera implementation of segmentation models for drone wildfire imagery

4 September 2023
Eduardo Garduño
J. Ciprián-Sánchez
Miguel González-Mendoza
Valente Vazquez-Garcia
Gerardo Rodriguez-Hernandez
Adriana Palacios-Rosas
Lucile Rossi-Tisson
Gilberto Ochoa-Ruiz
ArXiv (abs)PDFHTML

Papers citing "An FPGA smart camera implementation of segmentation models for drone wildfire imagery"

6 / 6 papers shown
Title
Unified Focal loss: Generalising Dice and cross entropy-based losses to
  handle class imbalanced medical image segmentation
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation
Michael Yeung
Evis Sala
Carola-Bibiane Schönlieb
L. Rundo
69
407
0
08 Feb 2021
FIRe-GAN: A novel Deep Learning-based infrared-visible fusion method for
  wildfire imagery
FIRe-GAN: A novel Deep Learning-based infrared-visible fusion method for wildfire imagery
J. Ciprián-Sánchez
G. Ochoa-Ruiz
M. González-Mendoza
L. Rossi
49
22
0
27 Jan 2021
Segmentation Loss Odyssey
Segmentation Loss Odyssey
Jun Ma
SSegVLMMedIm
36
39
0
27 May 2020
Infrared and Visible Image Fusion using a Deep Learning Framework
Infrared and Visible Image Fusion using a Deep Learning Framework
Hui Li
Xiaojun Wu
J. Kittler
39
415
0
19 Apr 2018
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
193
3,697
0
31 Aug 2016
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
463
43,305
0
11 Feb 2015
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