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CNN-Based Joint Clustering and Representation Learning with Feature
  Drift Compensation for Large-Scale Image Data

CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data

19 May 2017
Chih-Chung Hsu
Chia-Wen Lin
    SSL
ArXivPDFHTML

Papers citing "CNN-Based Joint Clustering and Representation Learning with Feature Drift Compensation for Large-Scale Image Data"

17 / 17 papers shown
Title
Historical Printed Ornaments: Dataset and Tasks
Historical Printed Ornaments: Dataset and Tasks
Sayan Kumar Chaki
Z. S. Baltaci
Elliot Vincent
Remi Emonet
Fabienne Vial-Bonacci
Christelle Bahier-Porte
Mathieu Aubry
Thierry Fournel
52
0
0
16 Aug 2024
Novel Class Discovery: an Introduction and Key Concepts
Novel Class Discovery: an Introduction and Key Concepts
Colin Troisemaine
V. Lemaire
Stéphane Gosselin
Alexandre Reiffers-Masson
Joachim Flocon-Cholet
Sandrine Vaton
50
21
0
22 Feb 2023
Deep Clustering: A Comprehensive Survey
Deep Clustering: A Comprehensive Survey
Yazhou Ren
Jingyu Pu
Zhimeng Yang
Jie Xu
Guofeng Li
X. Pu
Philip S. Yu
Lifang He
HAI
50
101
0
09 Oct 2022
Boosting the Performance of Semi-Supervised Learning with Unsupervised
  Clustering
Boosting the Performance of Semi-Supervised Learning with Unsupervised Clustering
B. Lerner
Guy Shiran
D. Weinshall
SSL
22
5
0
01 Dec 2020
Image Clustering using an Augmented Generative Adversarial Network and
  Information Maximization
Image Clustering using an Augmented Generative Adversarial Network and Information Maximization
Foivos Ntelemis
Yaochu Jin
S. Thomas
GAN
33
13
0
08 Nov 2020
GATCluster: Self-Supervised Gaussian-Attention Network for Image
  Clustering
GATCluster: Self-Supervised Gaussian-Attention Network for Image Clustering
Chuang Niu
Jun Zhang
Ge Wang
Jimin Liang
SSL
27
70
0
27 Feb 2020
Deep Learning on Image Denoising: An overview
Deep Learning on Image Denoising: An overview
Chunwei Tian
Lunke Fei
Wenxian Zheng
Yong-mei Xu
W. Zuo
Chia-Wen Lin
37
815
0
31 Dec 2019
Discriminative Local Sparse Representation by Robust Adaptive Dictionary
  Pair Learning
Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
Yulin Sun
Zhao Zhang
Weiming Jiang
Zheng-Wei Zhang
Li Zhang
Shuicheng Yan
Meng Wang
38
56
0
20 Nov 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
Adversarial Deep Embedded Clustering: on a better trade-off between
  Feature Randomness and Feature Drift
Adversarial Deep Embedded Clustering: on a better trade-off between Feature Randomness and Feature Drift
Nairouz Mrabah
Mohamed Bouguessa
Riadh Ksantini
OOD
24
53
0
26 Sep 2019
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning
  paradigm
RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm
J. Saha
J. Mukhopadhyay
16
9
0
15 Jun 2019
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards
  Centroids Construction
Deep Clustering with a Dynamic Autoencoder: From Reconstruction towards Centroids Construction
Nairouz Mrabah
N. Khan
Riadh Ksantini
Z. Lachiri
23
63
0
23 Jan 2019
Deep Representation Learning Characterized by Inter-class Separation for
  Image Clustering
Deep Representation Learning Characterized by Inter-class Separation for Image Clustering
Dipanjan Das
Ratul Ghosh
Brojeshwar Bhowmick
OOD
SSL
DRL
23
7
0
19 Jan 2019
Deep Clustering Based on a Mixture of Autoencoders
Deep Clustering Based on a Mixture of Autoencoders
Shlomo E. Chazan
Sharon Gannot
Jacob Goldberger
22
39
0
16 Dec 2018
Geodesic Clustering in Deep Generative Models
Geodesic Clustering in Deep Generative Models
Tao Yang
Georgios Arvanitidis
Dongmei Fu
Xiaogang Li
Søren Hauberg
19
27
0
13 Sep 2018
Clustering with Deep Learning: Taxonomy and New Methods
Clustering with Deep Learning: Taxonomy and New Methods
Elie Aljalbout
Vladimir Golkov
Yawar Siddiqui
Maximilian Strobel
Daniel Cremers
33
241
0
23 Jan 2018
Differentially Private Mixture of Generative Neural Networks
Differentially Private Mixture of Generative Neural Networks
G. Ács
Luca Melis
C. Castelluccia
Emiliano De Cristofaro
SyDa
27
120
0
13 Sep 2017
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