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Active learning for efficient annotation in precision agriculture: a
  use-case on crop-weed semantic segmentation

Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation

3 April 2024
Bart M. van Marrewijk
Charbel Dandjinou
D. Rustia
Nicolas Franco Gonzalez
Boubacar Diallo
Jérôme Dias
P. Melki
Pieter M. Blok
ArXivPDFHTML

Papers citing "Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation"

3 / 3 papers shown
Title
Improved detection of discarded fish species through BoxAL active
  learning
Improved detection of discarded fish species through BoxAL active learning
Maria Sokolova
P. Blok
Angelo Mencarelli
Arjan Vroegop
Aloysius van Helmond
Gert Kootstra
15
1
0
07 Oct 2024
HarDNet: A Low Memory Traffic Network
HarDNet: A Low Memory Traffic Network
P. Chao
Chao-Yang Kao
Yunxing Ruan
Chien-Hsiang Huang
Y. Lin
198
267
0
03 Sep 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1