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High-level semantic feature matters few-shot unsupervised domain
  adaptation
v1v2 (latest)

High-level semantic feature matters few-shot unsupervised domain adaptation

5 January 2023
Lei Yu
Wanqi Yang
Sheng Huang
Lei Wang
Ming Yang
ArXiv (abs)PDFHTML

Papers citing "High-level semantic feature matters few-shot unsupervised domain adaptation"

23 / 23 papers shown
Title
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse
  Similarity Encoding
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding
Sheng Huang
Wanqi Yang
Lei Wang
Luping Zhou
Ming Yang
50
8
0
06 Aug 2021
Prototypical Cross-domain Self-supervised Learning for Few-shot
  Unsupervised Domain Adaptation
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Shanghang Zhang
Yang Gao
Trevor Darrell
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
84
152
0
31 Mar 2021
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image
  Classification
CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification
Chun-Fu Chen
Quanfu Fan
Yikang Shen
ViT
71
1,478
0
27 Mar 2021
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation
Yawei Luo
Ping Liu
T. Guan
Junqing Yu
Yi Yang
42
114
0
13 Apr 2020
Unsupervised Domain Adaptation via Structurally Regularized Deep
  Clustering
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering
Hui Tang
Ke Chen
Kui Jia
CMLOOD
69
273
0
19 Mar 2020
Learning Representations by Predicting Bags of Visual Words
Learning Representations by Predicting Bags of Visual Words
Spyros Gidaris
Andrei Bursuc
N. Komodakis
P. Pérez
Matthieu Cord
SSL
102
117
0
27 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise
  Transformation
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation
Hung-Yu Tseng
Hsin-Ying Lee
Jia-Bin Huang
Ming-Hsuan Yang
77
392
0
23 Jan 2020
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
796
0
26 Aug 2019
A Closer Look at Few-shot Classification
A Closer Look at Few-shot Classification
Wei-Yu Chen
Yen-Cheng Liu
Z. Kira
Y. Wang
Jia-Bin Huang
114
1,767
0
08 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot
  Learning
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
84
490
0
28 Mar 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
115
163
0
07 Mar 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions
Han-Jia Ye
Hexiang Hu
De-Chuan Zhan
Fei Sha
127
666
0
10 Dec 2018
Moment Matching for Multi-Source Domain Adaptation
Moment Matching for Multi-Source Domain Adaptation
Xingchao Peng
Qinxun Bai
Xide Xia
Zijun Huang
Kate Saenko
Bo Wang
OOD
130
1,801
0
04 Dec 2018
Meta-learning with differentiable closed-form solvers
Meta-learning with differentiable closed-form solvers
Luca Bertinetto
João F. Henriques
Philip Torr
Andrea Vedaldi
ODL
91
930
0
21 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
133
2,482
0
12 Apr 2018
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito
Kohei Watanabe
Yoshitaka Ushiku
Tatsuya Harada
98
1,791
0
07 Dec 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
300
8,134
0
15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
823
11,909
0
09 Mar 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
262
4,667
0
17 Feb 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
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
GANOOD
378
9,497
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
220
5,206
0
10 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
172
2,601
0
10 Dec 2014
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