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On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation

On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation

13 September 2021
Zhaoshuo Li
Nathan G. Drenkow
Hao Ding
Andy S Ding
A. Lu
Francis X. Creighton
Russell H. Taylor
Mathias Unberath
    MDE
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Papers citing "On the Sins of Image Synthesis Loss for Self-supervised Depth Estimation"

4 / 4 papers shown
Title
A Disparity Refinement Framework for Learning-based Stereo Matching
  Methods in Cross-domain Setting for Laparoscopic Images
A Disparity Refinement Framework for Learning-based Stereo Matching Methods in Cross-domain Setting for Laparoscopic Images
Zixin Yang
R. Simon
Cristian A. Linte
15
2
0
05 Feb 2023
Twin-S: A Digital Twin for Skull-base Surgery
Twin-S: A Digital Twin for Skull-base Surgery
Hongchao Shu
Ruixing Liang
Zhaoshuo Li
Anna Goodridge
Xiangyu Zhang
...
M. Sahu
Francis X. Creighton
Russell H. Taylor
Adnan Munawar
Mathias Unberath
17
0
0
21 Nov 2022
Context-Enhanced Stereo Transformer
Context-Enhanced Stereo Transformer
Weiyu Guo
Zhaoshuo Li
Yongkui Yang
Zhilin Wang
Russell H. Taylor
Mathias Unberath
Alan Yuille
Yingwei Li
17
35
0
21 Oct 2022
On the Uncertain Single-View Depths in Colonoscopies
On the Uncertain Single-View Depths in Colonoscopies
Javier Rodríguez-Puigvert
D. Recasens
Javier Civera
Ruben Martinez Cantin
UQCV
28
12
0
16 Dec 2021
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