ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.03505
  4. Cited By
Self-supervised Depth Estimation Leveraging Global Perception and
  Geometric Smoothness Using On-board Videos

Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

7 June 2021
Shaocheng Jia
Xin Pei
W. Yao
S. Wong
    3DPC
    MDE
ArXivPDFHTML

Papers citing "Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos"

4 / 4 papers shown
Title
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected
  Vehicle Trajectory Data
CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data
Jiachen Ye
Dingyu Wang
Shaocheng Jia
Xin Pei
Zi Yang
Yi Zhang
S. Wong
28
0
0
30 Sep 2024
CCDepth: A Lightweight Self-supervised Depth Estimation Network with
  Enhanced Interpretability
CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability
Xi Zhang
Yaru Xue
Shaocheng Jia
Xin Pei
18
0
0
30 Sep 2024
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong Lu
Ping Luo
Ling Shao
ViT
263
3,538
0
24 Feb 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
1,687
0
06 Jun 2018
1