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. 2207.12139
  4. Cited By
Improving Pseudo Labels With Intra-Class Similarity for Unsupervised
  Domain Adaptation

Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation

25 July 2022
Jie Wang
Xiaoli Zhang
ArXivPDFHTML

Papers citing "Improving Pseudo Labels With Intra-Class Similarity for Unsupervised Domain Adaptation"

19 / 19 papers shown
Title
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification
Yu Liang
Shilei Cao
Juepeng Zheng
Jianxi Huang
Haohuan Fu
Haohuan Fu
TTA
88
1
0
29 Aug 2024
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Dynamic Weighted Learning for Unsupervised Domain Adaptation
Ning Xiao
Lei Zhang
35
145
0
22 Mar 2021
Label Propagation with Augmented Anchors: A Simple Semi-Supervised
  Learning baseline for Unsupervised Domain Adaptation
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
42
69
0
15 Jul 2020
Fisher Deep Domain Adaptation
Fisher Deep Domain Adaptation
Yinghua Zhang
Yu Zhang
Ying Wei
Kun Bai
Yangqiu Song
Qiang Yang
AI4CE
45
9
0
12 Mar 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
231
504
0
08 Mar 2020
Unsupervised Domain Adaptation via Structured Prediction Based Selective
  Pseudo-Labeling
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
Qian Wang
T. Breckon
OOD
60
212
0
18 Nov 2019
A Comprehensive Survey on Transfer Learning
A Comprehensive Survey on Transfer Learning
Fuzhen Zhuang
Zhiyuan Qi
Keyu Duan
Dongbo Xi
Yongchun Zhu
Hengshu Zhu
Hui Xiong
Qing He
177
4,428
0
07 Nov 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
340
795
0
26 Aug 2019
Locality Preserving Joint Transfer for Domain Adaptation
Locality Preserving Joint Transfer for Domain Adaptation
Jingjing Li
Mengmeng Jing
Ke Lu
Zhu Lei
Jikang Cheng
TTA
35
213
0
18 Jun 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
Chong-Wah Ngo
Tao Mei
81
344
0
25 Apr 2019
Unsupervised Domain Adaptation using Feature-Whitening and Consensus
  Loss
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
Subhankar Roy
Aliaksandr Siarohin
E. Sangineto
Samuel Rota Buló
N. Sebe
Elisa Ricci
113
163
0
07 Mar 2019
Progressive Feature Alignment for Unsupervised Domain Adaptation
Progressive Feature Alignment for Unsupervised Domain Adaptation
Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
62
411
0
21 Nov 2018
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
138
2,041
0
22 Jun 2017
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Joint Geometrical and Statistical Alignment for Visual Domain Adaptation
Jing Zhang
W. Li
P. Ogunbona
44
499
0
16 May 2017
Asymmetric Tri-training for Unsupervised Domain Adaptation
Asymmetric Tri-training for Unsupervised Domain Adaptation
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
113
587
0
27 Feb 2017
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
215
5,194
0
10 Feb 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,019
0
26 Sep 2014
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
176
4,948
0
06 Oct 2013
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
223
2,355
0
15 May 2008
1