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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.08480
  4. Cited By
LiePoseNet: Heterogeneous Loss Function Based on Lie Group for
  Significant Speed-up of PoseNet Training Process

LiePoseNet: Heterogeneous Loss Function Based on Lie Group for Significant Speed-up of PoseNet Training Process

IEEE International Conference on Robotics and Biomimetics (ROBIO), 2022
15 November 2022
Mikhail Kurenkov
Ivan Kalinov
Dzmitry Tsetserukou
ArXiv (abs)PDFHTML

Papers citing "LiePoseNet: Heterogeneous Loss Function Based on Lie Group for Significant Speed-up of PoseNet Training Process"

1 / 1 papers shown
Title
Monocular visual simultaneous localization and mapping: (r)evolution from geometry to deep learning-based pipelinesIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Olaya Álvarez-Tunón
Yury Brodskiy
Erdal Kayacan
457
7
0
04 Mar 2025
1