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Active learning with MaskAL reduces annotation effort for training Mask
  R-CNN

Active learning with MaskAL reduces annotation effort for training Mask R-CNN

13 December 2021
P. Blok
Gert Kootstra
Hakim Elchaoui Elghor
Boubacar Diallo
F. K. Evert
Eldert J. van Henten
ArXivPDFHTML

Papers citing "Active learning with MaskAL reduces annotation effort for training Mask R-CNN"

3 / 3 papers shown
Title
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Julius Ruckin
Liren Jin
Federico Magistri
C. Stachniss
Marija Popović
27
11
0
03 Mar 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
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
9,136
0
06 Jun 2015
1