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SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised
  Monocular Depth Estimation

SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation

18 November 2021
Hang Zhou
Sarah Taylor
David Greenwood
Michal Mackiewicz
    UQCV
    MDE
ArXivPDFHTML

Papers citing "SUB-Depth: Self-distillation and Uncertainty Boosting Self-supervised Monocular Depth Estimation"

3 / 3 papers shown
Title
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for
  Depth Estimation
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation
Zizhang Wu
Zhuozheng Li
Zhi-Gang Fan
Yunzhe Wu
Xiaoquan Wang
Rui Tang
Jian Pu
18
1
0
26 Sep 2023
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
28
69
0
19 Jan 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
17
14
0
09 Nov 2020
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