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Confidence-based Visual Dispersal for Few-shot Unsupervised Domain
  Adaptation

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation

27 September 2023
Yizhe Xiong
Hui Chen
Zijia Lin
Sicheng Zhao
Guiguang Ding
ArXivPDFHTML

Papers citing "Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation"

6 / 6 papers shown
Title
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
201
848
0
15 Oct 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
R. He
Jiashi Feng
128
249
0
14 Dec 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
67
117
0
20 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
420
15,438
0
02 Nov 2015
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
GAN
OOD
149
8,353
0
28 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
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