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2007.09375
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Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
18 July 2020
Taekyung Kim
Changick Kim
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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
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
Can Zhang
G. Lee
DiffM
34
2
0
20 Aug 2023
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
Andrew Draganov
Simon Dohn
FAtt
27
4
0
20 Jun 2023
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
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
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
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
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
Abhay Rawat
Isha Dua
Saurav Gupta
Rahul Tallamraju
15
1
0
05 Sep 2022
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
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
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
40
3
0
30 Apr 2022
Con
2
^{2}
2
DA: 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
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
Ying Chen
Ouyang Xu
Kaiyue Zhu
G. Agam
38
6
0
20 Oct 2021
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
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
Xiaodong Wang
Junbao Zhuo
Shuhao Cui
Shuhui Wang
19
6
0
07 Jul 2021
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
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
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
Antti Tarvainen
Harri Valpola
OOD
MoMe
264
1,275
0
06 Mar 2017
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