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. 2208.13404
  4. Cited By
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge
  Transfer

Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer

29 August 2022
Junjie Hu
Chenyou Fan
Mete Ozay
Hua Feng
Yuan Gao
Tin Lun Lam
    SSL
ArXivPDFHTML

Papers citing "Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer"

3 / 3 papers shown
Title
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
217
508
0
15 Jan 2021
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global
  Localization in Large Scale Environment
Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment
Xiyue Guo
Junjie Hu
Junfeng Chen
Fuqin Deng
Tin Lun Lam
21
60
0
19 Oct 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
1