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H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging
  Epipolar Geometry

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

22 April 2021
Baoru Huang
Jian-Qing Zheng
Stamatia Giannarou
Daniel Elson
    MDE
ArXivPDFHTML

Papers citing "H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry"

3 / 3 papers shown
Title
Self-Supervised Depth Estimation in Laparoscopic Image using 3D
  Geometric Consistency
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency
Baoru Huang
Jian-Qing Zheng
Anh Nguyen
Chi Xu
I. Gkouzionis
Kunal N. Vyas
D. Tuch
Stamatia Giannarou
Daniel Elson
MDE
12
25
0
17 Aug 2022
Self-Supervised Generative Adversarial Network for Depth Estimation in
  Laparoscopic Images
Self-Supervised Generative Adversarial Network for Depth Estimation in Laparoscopic Images
Baoru Huang
Jian-Qing Zheng
A. Nguyen
D. Tuch
Kunal N. Vyas
Stamatia Giannarou
Daniel Elson
GAN
MedIm
MDE
19
36
0
09 Jul 2021
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
1