ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.08608
  4. Cited By
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing
  with Ground Truth Sparsity via Curriculum Learning
v1v2 (latest)

LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning

16 November 2022
Fatemeh Karimi
Amir Mehrpanah
Reza Rawassizadeh
ArXiv (abs)PDFHTMLGithub (10★)

Papers citing "LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning"

1 / 1 papers shown
Promoting CNNs with Cross-Architecture Knowledge Distillation for
  Efficient Monocular Depth Estimation
Promoting CNNs with Cross-Architecture Knowledge Distillation for Efficient Monocular Depth Estimation
Zhimeng Zheng
Tao Huang
Gongsheng Li
Zuyi Wang
283
3
0
25 Apr 2024
1
Page 1 of 1