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Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised
  Approach Based on Multi-Input ResNet Encoder

Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder

17 May 2022
Sabir Hossain
Xianke Lin
    3DPC
    MDE
ArXivPDFHTML

Papers citing "Efficient Stereo Depth Estimation for Pseudo LiDAR: A Self-Supervised Approach Based on Multi-Input ResNet Encoder"

2 / 2 papers shown
Title
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
VoloGAN: Adversarial Domain Adaptation for Synthetic Depth Data
Sascha Kirch
Rafael Pagés
Sergio Arnaldo
S. Martín
GAN
19
2
0
19 Jul 2022
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
182
1,707
0
06 Jun 2018
1