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ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical
  Consistency for Efficient Semi-supervised Learning

ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning

22 March 2023
Islam Nassar
Munawar Hayat
Ehsan Abbasnejad
Hamid Rezatofighi
Gholamreza Haffari
ArXivPDFHTML

Papers citing "ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning"

13 / 13 papers shown
Title
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large
  Vision-Language Models
EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models
Rui Zhao
Hangjie Yuan
Yujie Wei
Shiwei Zhang
Yuchao Gu
...
Xiang Wang
Zhangjie Wu
Junhao Zhang
Yingya Zhang
Mike Zheng Shou
DiffM
VLM
55
4
0
09 Oct 2024
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via
  Generative Models
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models
Guangxi Li
Yinsheng Song
Mingkai Zheng
41
0
0
29 Aug 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with
  Subspace-Based Out-of-Distribution Detection
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
Erik Wallin
Lennart Svensson
Fredrik Kahl
Lars Hammarstrand
OODD
42
1
0
16 Jul 2024
Deep Online Probability Aggregation Clustering
Deep Online Probability Aggregation Clustering
Yuxuan Yan
Na Lu
Ruofan Yan
34
1
0
07 Jul 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
55
0
0
03 Apr 2024
Exploring Homogeneous and Heterogeneous Consistent Label Associations
  for Unsupervised Visible-Infrared Person ReID
Exploring Homogeneous and Heterogeneous Consistent Label Associations for Unsupervised Visible-Infrared Person ReID
Lingfeng He
De-Chun Cheng
Nannan Wang
Xinbo Gao
27
3
0
01 Feb 2024
Concept Distillation: Leveraging Human-Centered Explanations for Model
  Improvement
Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement
Avani Gupta
Saurabh Saini
P. J. Narayanan
25
6
0
26 Nov 2023
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
OTMatch: Improving Semi-Supervised Learning with Optimal Transport
Zhiquan Tan
Kaipeng Zheng
Weiran Huang
OT
35
8
0
26 Oct 2023
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with
  Extremely Limited Labels
Mine yOur owN Anatomy: Revisiting Medical Image Segmentation with Extremely Limited Labels
Chenyu You
Weicheng Dai
Fenglin Liu
Yifei Min
Haoran Su
Xiaoran Zhang
Xiaoxiao Li
David A. Clifton
Lawrence H. Staib
James S. Duncan
43
49
0
27 Sep 2022
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
252
862
0
15 Oct 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 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
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
296
39,198
0
01 Sep 2014
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