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Few-Shot Adversarial Domain Adaptation

Few-Shot Adversarial Domain Adaptation

5 November 2017
Saeid Motiian
Q. Jones
Seyed Mehdi Iranmanesh
Gianfranco Doretto
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Papers citing "Few-Shot Adversarial Domain Adaptation"

24 / 74 papers shown
Title
Adversarial Weighting for Domain Adaptation in Regression
Adversarial Weighting for Domain Adaptation in Regression
Antoine de Mathelin
Guillaume Richard
Francois Deheeger
Mathilde Mougeot
Nicolas Vayatis
OOD
51
45
0
15 Jun 2020
Towards Robust Pattern Recognition: A Review
Towards Robust Pattern Recognition: A Review
Xu-Yao Zhang
Cheng-Lin Liu
C. Suen
OOD
HAI
26
103
0
12 Jun 2020
Dataset Condensation with Gradient Matching
Dataset Condensation with Gradient Matching
Bo Zhao
Konda Reddy Mopuri
Hakan Bilen
DD
41
479
0
10 Jun 2020
Interpretable Time-series Classification on Few-shot Samples
Interpretable Time-series Classification on Few-shot Samples
Wensi Tang
Lu Liu
Guodong Long
AI4TS
8
20
0
03 Jun 2020
Target-Independent Domain Adaptation for WBC Classification using
  Generative Latent Search
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey
A. Prathosh
Vinay Kyatham
Deepak Mishra
T. R. Dastidar
OOD
MedIm
39
25
0
11 May 2020
Learning to Learn Single Domain Generalization
Learning to Learn Single Domain Generalization
Fengchun Qiao
Long Zhao
Xi Peng
OOD
54
433
0
30 Mar 2020
iFAN: Image-Instance Full Alignment Networks for Adaptive Object
  Detection
iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection
Chenfan Zhuang
Xintong Han
Weilin Huang
Matthew R. Scott
OOD
30
81
0
09 Mar 2020
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Contradictory Structure Learning for Semi-supervised Domain Adaptation
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
110
21
0
06 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis
Jiechao Guan
Zhiwu Lu
Tao Xiang
Ji-Rong Wen
11
12
0
06 Feb 2020
The Role of Embedding Complexity in Domain-invariant Representations
The Role of Embedding Complexity in Domain-invariant Representations
Ching-Yao Chuang
Antonio Torralba
Stefanie Jegelka
16
1
0
13 Oct 2019
Generative One-Shot Face Recognition
Generative One-Shot Face Recognition
Zhengming Ding
Yandong Guo
Lei Zhang
Y. Fu
VLM
GAN
CVBM
29
10
0
28 Sep 2019
Transfer Learning with Dynamic Adversarial Adaptation Network
Transfer Learning with Dynamic Adversarial Adaptation Network
Chaohui Yu
Jindong Wang
Yiqiang Chen
Meiyu Huang
TTA
OOD
24
296
0
18 Sep 2019
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation
  Using Class-Conditioned Distribution Alignment
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment
Alex Gabourie
Mohammad Rostami
Phillip E. Pope
Soheil Kolouri
Kyungnam Kim
OOD
19
22
0
04 Jul 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
Huaiyu Li
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
Bao-Gang Hu
OffRL
32
98
0
15 May 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
60
1,754
0
08 Apr 2019
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Cross-Entropy Adversarial View Adaptation for Person Re-identification
Lin Wu
Richang Hong
Yang Wang
Ming Wang
GAN
27
80
0
03 Apr 2019
Few-shot Adaptive Faster R-CNN
Few-shot Adaptive Faster R-CNN
Tao Wang
Xiaopeng Zhang
Li-xin Yuan
Jiashi Feng
ObjD
23
131
0
22 Mar 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
58
184
0
12 Mar 2019
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian
  Process Approach
Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach
Minyoung Kim
Pritish Sahu
Behnam Gholami
Vladimir Pavlovic
OOD
14
45
0
23 Feb 2019
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete
  Demonstrations of Algorithmic Effectiveness in the Machine Learning and
  Artificial Intelligence Literature
NIPS - Not Even Wrong? A Systematic Review of Empirically Complete Demonstrations of Algorithmic Effectiveness in the Machine Learning and Artificial Intelligence Literature
Franz J. Király
Bilal A. Mateen
R. Sonabend
23
10
0
18 Dec 2018
Deep Cross-modality Adaptation via Semantics Preserving Adversarial
  Learning for Sketch-based 3D Shape Retrieval
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
Jiaxin Chen
Yi Fang
GAN
3DPC
14
47
0
04 Jul 2018
Deep Cross Polarimetric Thermal-to-visible Face Recognition
Deep Cross Polarimetric Thermal-to-visible Face Recognition
Seyed Mehdi Iranmanesh
Ali Dabouei
Hadi Kazemi
Nasser M. Nasrabadi
CVBM
43
46
0
04 Jan 2018
Crossing Generative Adversarial Networks for Cross-View Person
  Re-identification
Crossing Generative Adversarial Networks for Cross-View Person Re-identification
Chengyuan Zhang
Lin Wu
Yang Wang
GAN
22
31
0
04 Jan 2018
Recent Advances in Transfer Learning for Cross-Dataset Visual
  Recognition: A Problem-Oriented Perspective
Recent Advances in Transfer Learning for Cross-Dataset Visual Recognition: A Problem-Oriented Perspective
Jing Zhang
Wanqing Li
P. Ogunbona
Dong Xu
OOD
27
46
0
11 May 2017
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