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. 2011.03207
  4. Cited By
Learning a Geometric Representation for Data-Efficient Depth Estimation
  via Gradient Field and Contrastive Loss

Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss

6 November 2020
D. Shim
H. J. Kim
    SSL
    MDE
ArXivPDFHTML

Papers citing "Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss"

3 / 3 papers shown
Title
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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
185
1,707
0
06 Jun 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
1