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AI applications in forest monitoring need remote sensing benchmark
  datasets

AI applications in forest monitoring need remote sensing benchmark datasets

20 December 2022
E. Lines
Matthew J. Allen
Carlos Cabo
K. Calders
Amandine Debus
S. Grieve
Milto Miltiadou
Adam Noach
H. Owen
Stefano Puliti
ArXivPDFHTML

Papers citing "AI applications in forest monitoring need remote sensing benchmark datasets"

4 / 4 papers shown
Title
Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS
Manual Labelling Artificially Inflates Deep Learning-Based Segmentation Performance on RGB Images of Closed Canopy: Validation Using TLS
Matthew J. Allen
H. Owen
S. Grieve
E. Lines
63
0
0
18 Mar 2025
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with
  Deep Learning and Aerial Imagery
ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
Gyri Reiersen
David Dao
Björn Lütjens
Konstantin Klemmer
Kenza Amara
Attila Steinegger
Ce Zhang
Xiaoxia Zhu
77
32
0
26 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
322
7,503
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
389
5,832
0
29 Apr 2021
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