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TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot
  Learning

TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning

19 December 2019
Zhongjie Yu
Lin Chen
Zhongwei Cheng
Jiebo Luo
ArXivPDFHTML

Papers citing "TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning"

20 / 20 papers shown
Title
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch
Jinsung Yoon
Kihyuk Sohn
Chun-Liang Li
Sercan Ö. Arik
Tomas Pfister
29
7
0
30 Nov 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning
Xiu-Shen Wei
Hesheng Xu
Faen Zhang
Yuxin Peng
Wei Zhou
30
14
0
28 Sep 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
40
4
0
17 Aug 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
40
3
0
14 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Towards 3D Scene Understanding by Referring Synthetic Models
Towards 3D Scene Understanding by Referring Synthetic Models
Runnan Chen
Xinge Zhu
Nenglun Chen
Dawei Wang
Wei Li
Yuexin Ma
Ruigang Yang
Wenping Wang
3DPC
30
6
0
20 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning
Rui Xu
Lei Xing
Shuai Shao
Lifei Zhao
Baodi Liu
Weifeng Liu
Yicong Zhou
31
22
0
15 Mar 2022
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
43
30
0
01 Dec 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
32
2
0
21 Oct 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
43
35
0
16 Sep 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
37
22
0
09 Jun 2021
When Few-Shot Learning Meets Video Object Detection
When Few-Shot Learning Meets Video Object Detection
Zhongjie Yu
Gaoang Wang
Lin Chen
S. Raschka
Jiebo Luo
ObjD
39
1
0
26 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition
Multi-level Metric Learning for Few-shot Image Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
26
21
0
21 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer
  Learning
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
Abulikemu Abuduweili
Xingjian Li
Humphrey Shi
Chengzhong Xu
Dejing Dou
40
77
0
03 Mar 2021
Iterative label cleaning for transductive and semi-supervised few-shot
  learning
Iterative label cleaning for transductive and semi-supervised few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
42
61
0
14 Dec 2020
Hybrid Consistency Training with Prototype Adaptation for Few-Shot
  Learning
Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning
Meng Ye
Xiaoyu Lin
Giedrius Burachas
Ajay Divakaran
Yi Yao
17
2
0
19 Nov 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
29
22
0
18 Aug 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Pau Rodríguez
I. Laradji
Alexandre Drouin
Alexandre Lacoste
4
192
0
09 Mar 2020
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
389
11,700
0
09 Mar 2017
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
270
1,275
0
06 Mar 2017
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