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Attract, Perturb, and Explore: Learning a Feature Alignment Network for
  Semi-supervised Domain Adaptation

Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

18 July 2020
Taekyung Kim
Changick Kim
ArXivPDFHTML

Papers citing "Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation"

23 / 23 papers shown
Title
Compositional Semantic Mix for Domain Adaptation in Point Cloud
  Segmentation
Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation
Cristiano Saltori
Fabio Galasso
G. Fiameni
N. Sebe
Fabio Poiesi
Elisa Ricci
3DPC
37
19
0
28 Aug 2023
GeT: Generative Target Structure Debiasing for Domain Adaptation
GeT: Generative Target Structure Debiasing for Domain Adaptation
Can Zhang
G. Lee
DiffM
34
2
0
20 Aug 2023
Universal Semi-supervised Model Adaptation via Collaborative Consistency
  Training
Universal Semi-supervised Model Adaptation via Collaborative Consistency Training
Zizheng Yan
Yushuang Wu
Yipeng Qin
Xiaoguang Han
Shuguang Cui
Guanbin Li
39
1
0
07 Jul 2023
Relating tSNE and UMAP to Classical Dimensionality Reduction
Relating tSNE and UMAP to Classical Dimensionality Reduction
Andrew Draganov
Simon Dohn
FAtt
27
4
0
20 Jun 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level
  Learning
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning
Xinyang Huang
Chuanglu Zhu
Wenkai Chen
29
12
0
04 May 2023
Towards Realizing the Value of Labeled Target Samples: a Two-Stage
  Approach for Semi-Supervised Domain Adaptation
Towards Realizing the Value of Labeled Target Samples: a Two-Stage Approach for Semi-Supervised Domain Adaptation
Mengqun Jin
Kai Li
Shuyan Li
Chunming He
Xiu Li
29
1
0
21 Apr 2023
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain
  Adaptation
CAusal and collaborative proxy-tasKs lEarning for Semi-Supervised Domain Adaptation
Wenqiao Zhang
Changshuo Liu
Can Cui
Beng Chin Ooi
CML
27
0
0
30 Mar 2023
Fairness meets Cross-Domain Learning: a new perspective on Models and
  Metrics
Fairness meets Cross-Domain Learning: a new perspective on Models and Metrics
Leonardo Iurada
S. Bucci
Timothy M. Hospedales
Tatiana Tommasi
27
0
0
25 Mar 2023
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Image-free Domain Generalization via CLIP for 3D Hand Pose Estimation
Seongyeong Lee
Han-Ju Park
Dong Uk Kim
Jihyeon Kim
Muhammadjon Boboev
Seungryul Baek
3DH
21
5
0
30 Oct 2022
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label
  Injection
Semi-Supervised Domain Adaptation by Similarity based Pseudo-label Injection
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
15
1
0
05 Sep 2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Domain Adaptation with Adversarial Training on Penultimate Activations
Tao Sun
Cheng Lu
Haibin Ling
24
15
0
26 Aug 2022
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Multi-level Consistency Learning for Semi-supervised Domain Adaptation
Zizheng Yan
Yushuang Wu
Guanbin Li
Yipeng Qin
Xiaoguang Han
Shuguang Cui
19
32
0
09 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in
  Semantic Segmentation
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
40
3
0
30 Apr 2022
Con$^{2}$DA: Simplifying Semi-supervised Domain Adaptation by Learning
  Consistent and Contrastive Feature Representations
Con2^{2}2DA: Simplifying Semi-supervised Domain Adaptation by Learning Consistent and Contrastive Feature Representations
M. Pérez-Carrasco
P. Protopapas
Guillermo Cabrera-Vives
17
7
0
04 Apr 2022
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
36
14
0
11 Nov 2021
Semi-supervised Domain Adaptation for Semantic Segmentation
Semi-supervised Domain Adaptation for Semantic Segmentation
Ying Chen
Ouyang Xu
Kaiyue Zhu
G. Agam
38
6
0
20 Oct 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
30
10
0
18 Oct 2021
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic
  Segmentation
Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
Aoran Xiao
Jiaxing Huang
Dayan Guan
Fangneng Zhan
Shijian Lu
3DPC
13
91
0
12 Jul 2021
Learning Invariant Representation with Consistency and Diversity for
  Semi-supervised Source Hypothesis Transfer
Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
19
6
0
07 Jul 2021
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
34
108
0
30 Jun 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
94
38
0
22 Apr 2021
SaaS: Speed as a Supervisor for Semi-supervised Learning
SaaS: Speed as a Supervisor for Semi-supervised Learning
Safa Cicek
Alhussein Fawzi
Stefano Soatto
BDL
30
19
0
02 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
264
1,275
0
06 Mar 2017
1