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A Deep Learning Approach Based on Graphs to Detect Plantation Lines

A Deep Learning Approach Based on Graphs to Detect Plantation Lines

5 February 2021
D. Gonçalves
Mauro dos Santos de Arruda
H. Pistori
V. Fernandes
A. P. Ramos
Danielle Elis Garcia Furuya
L. Osco
Hongjie He
Jonathan Li
J. M. Junior
W. Gonçalves
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Papers citing "A Deep Learning Approach Based on Graphs to Detect Plantation Lines"

4 / 4 papers shown
Title
MTLSegFormer: Multi-task Learning with Transformers for Semantic
  Segmentation in Precision Agriculture
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture
D. Gonçalves
J. M. Junior
Pedro Zamboni
H. Pistori
Jonathan Li
Keiller Nogueira
W. Gonçalves
35
5
0
04 May 2023
A Review on Deep Learning in UAV Remote Sensing
A Review on Deep Learning in UAV Remote Sensing
L. Osco
J. M. Junior
A. P. Ramos
L. Jorge
S. Fatholahi
J. Silva
E. Matsubara
H. Pistori
W. Gonçalves
Jonathan Li
AI4Cl
34
341
0
22 Jan 2021
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows
  from UAV Imagery
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
L. Osco
Mauro dos Santos de Arruda
D. Gonçalves
Alexandre Dias
J. Batistoti
...
V. Liesenberg
Jonathan Li
Lingfei Ma
J. M. Junior
W. Gonçalves
35
98
0
31 Dec 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
440
15,637
0
02 Nov 2015
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