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SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised
  Classification

SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification

30 March 2021
Zijian Hu
Zhengyu Yang
Xuefeng Hu
Ram Nevatia
ArXivPDFHTML

Papers citing "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

22 / 22 papers shown
Title
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
SoftPatch+: Fully Unsupervised Anomaly Classification and Segmentation
Chengjie Wang
Xi Jiang
Bin-Bin Gao
Zhenye Gan
Y. Liu
Feng Zheng
Lizhuang Ma
UQCV
44
1
0
30 Dec 2024
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution
  Monocular Metric Depth Estimation
PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
Zhenyu Li
Shariq Farooq Bhat
Peter Wonka
3DV
MDE
29
7
0
10 Jun 2024
Boosting Single Positive Multi-label Classification with Generalized
  Robust Loss
Boosting Single Positive Multi-label Classification with Generalized Robust Loss
Yanxi Chen
Chunxiao Li
Xinyang Dai
Jinhuan Li
Weiyu Sun
Yiming Wang
Renyuan Zhang
Tinghe Zhang
Bo Wang
32
0
0
06 May 2024
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Semi-Supervised Unconstrained Head Pose Estimation in the Wild
Huayi Zhou
Fei Jiang
Hongtao Lu
Yong Rui
Hongtao Lu
Kui Jia
43
0
0
03 Apr 2024
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner
Ying-Dong Zang
Chenglong Fu
Runlong Cao
Didi Zhu
Min Zhang
Wenjun Hu
Lanyun Zhu
Tianrun Chen
26
6
0
08 Feb 2024
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based
  Coronary Artery Instance Segmentation
Cross-Task Data Augmentation by Pseudo-label Generation for Region Based Coronary Artery Instance Segmentation
Sandesh Pokhrel
Sanjay Bhandari
Eduard Vazquez
Y. Shrestha
Binod Bhattarai
20
0
0
08 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data
Deep Insights into Noisy Pseudo Labeling on Graph Data
Botao Wang
Jia Li
Yang Liu
Jiashun Cheng
Yu Rong
Wenjia Wang
Fugee Tsung
NoLa
24
8
0
02 Oct 2023
SPLAL: Similarity-based pseudo-labeling with alignment loss for
  semi-supervised medical image classification
SPLAL: Similarity-based pseudo-labeling with alignment loss for semi-supervised medical image classification
Md Junaid Mahmood
Pranaw Raj
Divyansh Agarwal
S. Kumari
Pravendra Singh
26
7
0
10 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
21
8
0
08 Jul 2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Zhi-Hao Tan
Zihao W. Wang
Yifan Zhang
43
6
0
26 Apr 2023
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical
  Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling
Xuzhe Zhang
Yu-Hsun Wu
S. Entringer
H. Simhan
Jia Guo
...
A. Jackowski
Haifeng Li
J. Posner
Andrew F. Laine
Yun Wang
OOD
13
11
0
16 Mar 2023
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Self Meta Pseudo Labels: Meta Pseudo Labels Without The Teacher
Kei-Sing Ng
Qingchen Wang
VLM
13
1
0
27 Dec 2022
TransVCL: Attention-enhanced Video Copy Localization Network with
  Flexible Supervision
TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision
Sifeng He
Yue He
Minlong Lu
Chen Jiang
Xudong Yang
Feng Qian
X. Zhang
Lei Yang
Jiandong Zhang
ViT
13
18
0
23 Nov 2022
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for
  Semi-Supervised Learning
NorMatch: Matching Normalizing Flows with Discriminative Classifiers for Semi-Supervised Learning
Zhongying Deng
Rihuan Ke
Carola-Bibiane Schonlieb
Angelica I Aviles-Rivero
17
0
0
17 Nov 2022
Improving Semi-supervised Deep Learning by using Automatic Thresholding
  to Deal with Out of Distribution Data for COVID-19 Detection using Chest
  X-ray Images
Improving Semi-supervised Deep Learning by using Automatic Thresholding to Deal with Out of Distribution Data for COVID-19 Detection using Chest X-ray Images
Isaac Benavides-Mata
Saul Calderon-Ramirez
11
3
0
03 Nov 2022
Label Distribution Learning via Implicit Distribution Representation
Label Distribution Learning via Implicit Distribution Representation
Zhuoran Zheng
Xiuyi Jia
12
7
0
28 Sep 2022
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
Yu-Ting Yen
Chia-Ni Lu
Wei-Chen Chiu
Yi-Hsuan Tsai
MDE
16
10
0
19 Sep 2022
On Non-Random Missing Labels in Semi-Supervised Learning
On Non-Random Missing Labels in Semi-Supervised Learning
Xinting Hu
Yulei Niu
C. Miao
Xiansheng Hua
Hanwang Zhang
27
17
0
29 Jun 2022
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
RSCFed: Random Sampling Consensus Federated Semi-supervised Learning
Xiaoxiao Liang
Yiqun Lin
H. Fu
Lei Zhu
X. Li
FedML
8
48
0
26 Mar 2022
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
31
32
0
26 Oct 2021
SSFL: Tackling Label Deficiency in Federated Learning via Personalized
  Self-Supervision
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
Chaoyang He
Zhengyu Yang
Erum Mushtaq
Sunwoo Lee
Mahdi Soltanolkotabi
A. Avestimehr
FedML
90
36
0
06 Oct 2021
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep
  Semi-Supervised Classification
LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification
P. Sellars
Angelica I. Aviles-Rivero
Carola-Bibiane Schönlieb
15
8
0
08 Jun 2021
1