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Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping
18 March 2024
Shubhra Aich
Wenshan Wang
Parv Maheshwari
Matthew Sivaprakasam
S. Triest
Cherie Ho
Jason M. Gregory
John G. Rogers
Sebastian A. Scherer
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Papers citing
"Deep Bayesian Future Fusion for Self-Supervised, High-Resolution, Off-Road Mapping"
5 / 5 papers shown
Title
TartanDrive 2.0: More Modalities and Better Infrastructure to Further Self-Supervised Learning Research in Off-Road Driving Tasks
Matthew Sivaprakasam
Parv Maheshwari
Mateo Guaman Castro
S. Triest
Micah Nye
Steven Willits
Andrew Saba
Wenshan Wang
Sebastian A. Scherer
35
13
0
02 Feb 2024
Dynamic Spatial Propagation Network for Depth Completion
Y. Lin
T. Cheng
Qianglong Zhong
Wending Zhou
Huanhuan Yang
42
115
0
20 Feb 2022
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
262
10,320
0
12 Dec 2018
Image Inpainting for Irregular Holes Using Partial Convolutions
Guilin Liu
F. Reda
Kevin J. Shih
Ting-Chun Wang
Andrew Tao
Bryan Catanzaro
142
1,912
0
20 Apr 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
74,467
0
18 May 2015
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