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MoBYv2AL: Self-supervised Active Learning for Image Classification

MoBYv2AL: Self-supervised Active Learning for Image Classification

4 January 2023
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
    SSL
ArXivPDFHTML

Papers citing "MoBYv2AL: Self-supervised Active Learning for Image Classification"

6 / 6 papers shown
Title
Inconsistency-based Active Learning for LiDAR Object Detection
Inconsistency-based Active Learning for LiDAR Object Detection
Esteban Rivera
Loic Stratil
Markus Lienkamp
31
0
0
01 May 2025
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Shiryu Ueno
Yusei Yamada
Shunsuke Nakatsuka
Kunihito Kato
FedML
11
2
0
10 Dec 2023
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
362
5,811
0
29 Apr 2021
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
276
3,375
0
09 Mar 2020
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
168
196
0
16 Oct 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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