TY - GEN
T1 - Sparse Single Photon Reconstruction through Masked Autoencoder
AU - McEvoy, Luke
AU - Tafone, Daniel
AU - Sua, Yong Meng
AU - Huang, Yu Ping
N1 - Publisher Copyright:
© Optica Publishing Group 2023, © 2023 The Author(s)
PY - 2023
Y1 - 2023
N2 - Leveraging masked autoencoders, we achieve 4 times classification accuracy than that of Vision Transformers, and 2 times better classification accuracy than Convolutional Neural Networks on 50% masked LiDAR images acquired with sparse photon detections.
AB - Leveraging masked autoencoders, we achieve 4 times classification accuracy than that of Vision Transformers, and 2 times better classification accuracy than Convolutional Neural Networks on 50% masked LiDAR images acquired with sparse photon detections.
UR - http://www.scopus.com/inward/record.url?scp=85191197733&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85191197733&partnerID=8YFLogxK
U2 - 10.1364/FIO.2023.JW4A.86
DO - 10.1364/FIO.2023.JW4A.86
M3 - Conference contribution
AN - SCOPUS:85191197733
T3 - Frontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
BT - Frontiers in Optics
T2 - Frontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Y2 - 9 October 2023 through 12 October 2023
ER -