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. 2210.00411
  4. Cited By
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening
  Problem

Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem

2 October 2022
Xingyu Chen
Ruonan Zhang
Ji Jiang
Yan Wang
Ge Li
Thomas H. Li
    MQ
    MDE
ArXivPDFHTML

Papers citing "Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem"

3 / 3 papers shown
Title
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning
Chunpu Liu
Guanglei Yang
Wangmeng Zuo
Tianyi Zan
MDE
36
0
0
31 Dec 2024
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy Prediction
Yi Feng
Yu Han
Xijing Zhang
Tanghui Li
Yanting Zhang
Rui Fan
74
3
0
15 Dec 2024
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation
DCPI-Depth: Explicitly Infusing Dense Correspondence Prior to Unsupervised Monocular Depth Estimation
Mengtan Zhang
Yi Feng
Qijun Chen
Rui Fan
MDE
34
5
0
27 May 2024
1