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Automatically Discovering and Learning New Visual Categories with
  Ranking Statistics

Automatically Discovering and Learning New Visual Categories with Ranking Statistics

13 February 2020
Kai Han
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Andrea Vedaldi
Andrew Zisserman
    SSL
ArXivPDFHTML

Papers citing "Automatically Discovering and Learning New Visual Categories with Ranking Statistics"

28 / 28 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
382
3
0
10 Nov 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
133
5
0
08 Aug 2024
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery
Enguang Wang
Zhimao Peng
Zhengyuan Xie
Fei Yang
Xialei Liu
Ming-Ming Cheng
94
3
0
15 Mar 2024
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
75
299
0
26 Aug 2019
Semi-Supervised Learning with Scarce Annotations
Semi-Supervised Learning with Scarce Annotations
Sylvestre-Alvise Rebuffi
Sébastien Ehrhardt
Kai Han
Andrea Vedaldi
Andrew Zisserman
SSL
49
50
0
21 May 2019
S4L: Self-Supervised Semi-Supervised Learning
S4L: Self-Supervised Semi-Supervised Learning
Xiaohua Zhai
Avital Oliver
Alexander Kolesnikov
Lucas Beyer
SSL
VLM
103
792
0
09 May 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
140
716
0
25 Jan 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
73
167
0
02 Jan 2019
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
66
2,586
0
06 Aug 2018
Unsupervised Representation Learning by Predicting Image Rotations
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris
Praveer Singh
N. Komodakis
OOD
SSL
DRL
252
3,288
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
82
219
0
28 Nov 2017
Memory Aware Synapses: Learning what (not) to forget
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi
F. Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
KELM
CLL
85
1,633
0
27 Nov 2017
Recent Advances in Zero-shot Recognition
Recent Advances in Zero-shot Recognition
Yanwei Fu
Tao Xiang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
S. Gong
BDL
VLM
57
178
0
13 Oct 2017
Incremental Learning of Object Detectors without Catastrophic Forgetting
Incremental Learning of Object Detectors without Catastrophic Forgetting
K. Shmelkov
Cordelia Schmid
Alahari Karteek
ObjD
73
520
0
23 Aug 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
146
1,567
0
03 Jul 2017
Gradient Episodic Memory for Continual Learning
Gradient Episodic Memory for Continual Learning
David Lopez-Paz
MarcÁurelio Ranzato
VLM
CLL
127
2,711
0
26 Jun 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
41
522
0
20 Apr 2017
Deep Image Category Discovery using a Transferred Similarity Function
Deep Image Category Discovery using a Transferred Similarity Function
Yen-Chang Hsu
Zhaoyang Lv
Z. Kira
59
15
0
05 Dec 2016
iCaRL: Incremental Classifier and Representation Learning
iCaRL: Incremental Classifier and Representation Learning
Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
G. Sperl
Christoph H. Lampert
CLL
OOD
145
3,755
0
23 Nov 2016
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
69
875
0
15 Oct 2016
Temporal Ensembling for Semi-Supervised Learning
Temporal Ensembling for Semi-Supervised Learning
S. Laine
Timo Aila
UQCV
185
2,555
0
07 Oct 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
370
7,321
0
13 Jun 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters
Joint Unsupervised Learning of Deep Representations and Image Clusters
Jianwei Yang
Devi Parikh
Dhruv Batra
SSL
51
817
0
13 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Unsupervised Deep Embedding for Clustering Analysis
Unsupervised Deep Embedding for Clustering Analysis
Junyuan Xie
Ross B. Girshick
Ali Farhadi
SSL
86
2,874
0
19 Nov 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
96
1,372
0
09 Jul 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
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