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Neighborhood Contrastive Learning for Novel Class Discovery

Neighborhood Contrastive Learning for Novel Class Discovery

20 June 2021
Zhun Zhong
Enrico Fini
Subhankar Roy
Zhiming Luo
Elisa Ricci
N. Sebe
ArXivPDFHTML

Papers citing "Neighborhood Contrastive Learning for Novel Class Discovery"

29 / 29 papers shown
Title
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
308
1
0
10 Nov 2024
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Composing Novel Classes: A Concept-Driven Approach to Generalized Category Discovery
Chuyu Zhang
Peiyan Gu
Xueyang Yu
Xuming He
147
0
0
17 Oct 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts
Hongjun Wang
S. Vaze
Kai Han
112
4
0
08 Aug 2024
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
A Generic Method for Fine-grained Category Discovery in Natural Language Texts
Chang Tian
Matthew B. Blaschko
Wenpeng Yin
Mingzhe Xing
Yinliang Yue
Marie-Francine Moens
102
2
0
18 Jun 2024
Contrastive Learning with Hard Negative Samples
Contrastive Learning with Hard Negative Samples
Joshua Robinson
Ching-Yao Chuang
S. Sra
Stefanie Jegelka
SSL
109
768
0
09 Oct 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
83
634
0
02 Oct 2020
LSD-C: Linearly Separable Deep Clusters
LSD-C: Linearly Separable Deep Clusters
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
36
24
0
17 Jun 2020
SCAN: Learning to Classify Images without Labels
SCAN: Learning to Classify Images without Labels
Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
VLM
SSL
77
533
0
25 May 2020
Supervised Contrastive Learning
Supervised Contrastive Learning
Prannay Khosla
Piotr Teterwak
Chen Wang
Aaron Sarna
Yonglong Tian
Phillip Isola
Aaron Maschinot
Ce Liu
Dilip Krishnan
SSL
116
4,476
0
23 Apr 2020
Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics
Automatically Discovering and Learning New Visual Categories with Ranking Statistics
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
SSL
29
180
0
13 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
186
18,523
0
13 Feb 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
94
11,959
0
13 Nov 2019
Learning to Discover Novel Visual Categories via Deep Transfer
  Clustering
Learning to Discover Novel Visual Categories via Deep Transfer Clustering
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
68
295
0
26 Aug 2019
Contrastive Multiview Coding
Contrastive Multiview Coding
Yonglong Tian
Dilip Krishnan
Phillip Isola
SSL
129
2,385
0
13 Jun 2019
Learning Representations by Maximizing Mutual Information Across Views
Learning Representations by Maximizing Mutual Information Across Views
Philip Bachman
R. Devon Hjelm
William Buchwalter
SSL
151
1,463
0
03 Jun 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
118
3,009
0
06 May 2019
A critical analysis of self-supervision, or what we can learn from a
  single image
A critical analysis of self-supervision, or what we can learn from a single image
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
49
146
0
30 Apr 2019
Local Aggregation for Unsupervised Learning of Visual Embeddings
Local Aggregation for Unsupervised Learning of Visual Embeddings
Chengxu Zhuang
Alex Zhai
Daniel L. K. Yamins
SSL
71
444
0
29 Mar 2019
Multi-class Classification without Multi-class Labels
Multi-class Classification without Multi-class Labels
Yen-Chang Hsu
Zhaoyang Lv
Joel Schlosser
Phillip Odom
Z. Kira
38
164
0
02 Jan 2019
Unsupervised Feature Learning via Non-Parametric Instance-level
  Discrimination
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination
Zhirong Wu
Yuanjun Xiong
Stella X. Yu
Dahua Lin
SSL
143
3,437
0
05 May 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
187
3,272
0
21 Mar 2018
Learning to cluster in order to transfer across domains and tasks
Learning to cluster in order to transfer across domains and tasks
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
OOD
66
216
0
28 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
231
9,687
0
25 Oct 2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and
  Relative Entropy Minimization
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
Kamran Ghasedi Dizaji
Amirhossein Herandi
Cheng Deng
Weidong (Tom) Cai
Heng-Chiao Huang
25
519
0
20 Apr 2017
Towards K-means-friendly Spaces: Simultaneous Deep Learning and
  Clustering
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
Bo Yang
Xiao Fu
N. Sidiropoulos
Mingyi Hong
DRL
40
868
0
15 Oct 2016
CliqueCNN: Deep Unsupervised Exemplar Learning
CliqueCNN: Deep Unsupervised Exemplar Learning
Miguel Angel Bautista
A. Sanakoyeu
Ekaterina Tikhoncheva
Bjorn Ommer
SSL
36
113
0
31 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
62
2,844
0
19 Nov 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
822
99,991
0
04 Sep 2014
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