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. 2405.16437
  4. Cited By
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation

Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation

26 May 2024
Yawen Zou
Chunzhi Gu
Junzhou Yu
Shangce Gao
Chao Zhang
ArXivPDFHTML

Papers citing "Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation"

5 / 5 papers shown
Title
Unsupervised Domain Adaptation of Black-Box Source Models
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang
Yabin Zhang
K. Jia
Lei Zhang
117
50
0
08 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
140
249
0
14 Dec 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
174
494
0
08 Mar 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
207
783
0
26 Aug 2019
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
1