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MaskMatch: Boosting Semi-Supervised Learning Through Mask
  Autoencoder-Driven Feature Learning

MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning

10 May 2024
Wenjin Zhang
Keyi Li
Sen Yang
Chenyang Gao
Wanzhao Yang
Sifan Yuan
I. Marsic
ArXivPDFHTML

Papers citing "MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning"

6 / 6 papers shown
Title
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches
Atik Faysal
Mohammad Rostami
Taha Boushine
Reihaneh Gh. Roshan
Huaxia Wang
Nikhil Muralidhar
41
1
0
25 Feb 2025
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
Yidong Wang
Hao Chen
Qiang Heng
Wenxin Hou
Yue Fan
...
Marios Savvides
T. Shinozaki
Bhiksha Raj
Bernt Schiele
Xing Xie
185
258
0
15 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
171
647
0
27 Oct 2021
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
231
862
0
15 Oct 2021
Meta Pseudo Labels
Meta Pseudo Labels
Hieu H. Pham
Zihang Dai
Qizhe Xie
Minh-Thang Luong
Quoc V. Le
VLM
253
656
0
23 Mar 2020
1