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. 2112.07241
  4. Cited By
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection

Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection

14 December 2021
Na Zhao
G. Lee
    CLL
ArXivPDFHTML

Papers citing "Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection"

4 / 4 papers shown
Title
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
MIRACLE3D: Memory-efficient Integrated Robust Approach for Continual Learning on Point Clouds via Shape Model Construction
Hossein Resani
B. Nasihatkon
3DV
80
0
0
08 Oct 2024
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Continual Learning in 3D Point Clouds: Employing Spectral Techniques for Exemplar Selection
Hossein Resani
B. Nasihatkon
Mohammadreza Alimoradi Jazi
3DPC
36
2
0
12 Sep 2024
BirdNet: a 3D Object Detection Framework from LiDAR information
BirdNet: a 3D Object Detection Framework from LiDAR information
Jorge Beltrán
Carlos Guindel
Francisco Miguel Moreno
Daniel Cruzado
F. García
A. D. L. Escalera
3DPC
132
251
0
03 May 2018
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 2017
1