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Vision Transformers, a new approach for high-resolution and large-scale
  mapping of canopy heights

Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights

22 April 2023
Ibrahim Fayad
P. Ciais
Martin Schwartz
J. Wigneron
N. Baghdadi
A. D. Truchis
Alexandre d’Aspremont
F. Frappart
Sassan Saatchi
Agnès Pellissier-Tanon
Hassan Bazzi
ArXivPDFHTML

Papers citing "Vision Transformers, a new approach for high-resolution and large-scale mapping of canopy heights"

3 / 3 papers shown
Title
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
258
7,434
0
11 Nov 2021
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short
  crops
Combining GEDI and Sentinel-2 for wall-to-wall mapping of tall and short crops
S. D. Tommaso
Sherrie Wang
David B. Lobell
13
37
0
10 Sep 2021
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for
  Medical Image Segmentation
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen
Yishu Liu
Zheng-Wei Zhang
Guangming Lu
A. W. Kong
MedIm
ViT
101
208
0
12 Jul 2021
1