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A Survey on Open-Set Image Recognition

A Survey on Open-Set Image Recognition

25 December 2023
Qiulei Dong
Qiulei Dong
    BDLObjD
ArXiv (abs)PDFHTML

Papers citing "A Survey on Open-Set Image Recognition"

50 / 102 papers shown
Title
Representative-Discriminative Learning for Open-set Land Cover
  Classification of Satellite Imagery
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery
Razieh Kaviani Baghbaderani
Ying Qu
Hairong Qi
Craig Stutts
94
17
0
21 Jul 2020
MMF: A loss extension for feature learning in open set recognition
MMF: A loss extension for feature learning in open set recognition
Jingyun Jia
P. Chan
10
9
0
26 Jun 2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Open-Set Recognition with Gaussian Mixture Variational Autoencoders
Alexander Cao
Yuan Luo
Diego Klabjan
VLMBDLDRL
44
34
0
03 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning
Few-Shot Open-Set Recognition using Meta-Learning
Bo Liu
Hao Kang
Haoxiang Li
G. Hua
Nuno Vasconcelos
BDLEDL
60
91
0
27 May 2020
Old is Gold: Redefining the Adversarially Learned One-Class Classifier
  Training Paradigm
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
M. Zaheer
Jin-ha Lee
Marcella Astrid
Seung-Ik Lee
AAML
67
222
0
16 Apr 2020
Hybrid Models for Open Set Recognition
Hybrid Models for Open Set Recognition
Hongjie Zhang
Ang Li
Jie Guo
Yanwen Guo
BDL
135
185
0
27 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition
Conditional Gaussian Distribution Learning for Open Set Recognition
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
BDLUQCV
186
217
0
19 Mar 2020
Latent Embedding Feedback and Discriminative Features for Zero-Shot
  Classification
Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification
Sanath Narayan
Akshita Gupta
Fahad Shahbaz Khan
Cees G. M. Snoek
Ling Shao
VLM
37
224
0
17 Mar 2020
DROCC: Deep Robust One-Class Classification
DROCC: Deep Robust One-Class Classification
Sachin Goyal
Aditi Raghunathan
Moksh Jain
H. Simhadri
Prateek Jain
VLM
82
165
0
28 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
427
10,591
0
17 Feb 2020
Using Self-Supervised Learning Can Improve Model Robustness and
  Uncertainty
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Mantas Mazeika
Saurav Kadavath
Basel Alomair
OODSSL
56
945
0
28 Jun 2019
Large-Scale Long-Tailed Recognition in an Open World
Large-Scale Long-Tailed Recognition in an Open World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
151
1,160
0
10 Apr 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition
Poojan Oza
Vishal M. Patel
117
322
0
02 Apr 2019
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent
  Representations
OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
Pramuditha Perera
Ramesh Nallapati
Bing Xiang
118
526
0
20 Mar 2019
Open-Set Recognition Using Intra-Class Splitting
Open-Set Recognition Using Intra-Class Splitting
Patrick Schlachter
Yiwen Liao
Bin Yang
BDLMQVLM
42
32
0
12 Mar 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition
Deep CNN-based Multi-task Learning for Open-Set Recognition
Poojan Oza
Vishal M. Patel
64
35
0
07 Mar 2019
Deep Anomaly Detection with Outlier Exposure
Deep Anomaly Detection with Outlier Exposure
Dan Hendrycks
Mantas Mazeika
Thomas G. Dietterich
OODD
183
1,483
0
11 Dec 2018
Classification-Reconstruction Learning for Open-Set Recognition
Classification-Reconstruction Learning for Open-Set Recognition
Ryota Yoshihashi
Wen Shao
Rei Kawakami
Shaodi You
M. Iida
T. Naemura
BDL
61
327
0
11 Dec 2018
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDLObjD
141
769
0
21 Nov 2018
Reducing Network Agnostophobia
Reducing Network Agnostophobia
A. Dhamija
Manuel Günther
Terrance E. Boult
AAMLUQCV
73
302
0
09 Nov 2018
Invertible Residual Networks
Invertible Residual Networks
Jens Behrmann
Will Grathwohl
Ricky T. Q. Chen
David Duvenaud
J. Jacobsen
UQCVTPM
130
623
0
02 Nov 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
295
3,134
0
09 Jul 2018
Evidential Deep Learning to Quantify Classification Uncertainty
Evidential Deep Learning to Quantify Classification Uncertainty
Murat Sensoy
Lance M. Kaplan
M. Kandemir
OODUQCVEDLBDL
185
996
0
05 Jun 2018
Deep Anomaly Detection Using Geometric Transformations
Deep Anomaly Detection Using Geometric Transformations
I. Golan
Ran El-Yaniv
89
607
0
28 May 2018
Self-Attention Generative Adversarial Networks
Self-Attention Generative Adversarial Networks
Han Zhang
Ian Goodfellow
Dimitris N. Metaxas
Augustus Odena
GAN
148
3,726
0
21 May 2018
Robust Classification with Convolutional Prototype Learning
Robust Classification with Convolutional Prototype Learning
Hong-Ming Yang
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
63
342
0
09 May 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
77
508
0
27 Apr 2018
Iterative Learning with Open-set Noisy Labels
Iterative Learning with Open-set Noisy Labels
Yisen Wang
Weiyang Liu
Xingjun Ma
James Bailey
H. Zha
Le Song
Shutao Xia
NoLa
82
328
0
31 Mar 2018
Transductive Unbiased Embedding for Zero-Shot Learning
Transductive Unbiased Embedding for Zero-Shot Learning
Mingli Song
Chengchao Shen
Yezhou Yang
Yang Liu
Xiuming Zhang
62
197
0
30 Mar 2018
i-RevNet: Deep Invertible Networks
i-RevNet: Deep Invertible Networks
J. Jacobsen
A. Smeulders
Edouard Oyallon
83
333
0
20 Feb 2018
Learning a Neural-network-based Representation for Open Set Recognition
Learning a Neural-network-based Representation for Open Set Recognition
Mehadi Hassen
P. Chan
44
114
0
12 Feb 2018
Theoretical Impediments to Machine Learning With Seven Sparks from the
  Causal Revolution
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Judea Pearl
CML
61
335
0
11 Jan 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
280
9,764
0
25 Oct 2017
Generative OpenMax for Multi-Class Open Set Classification
Generative OpenMax for Multi-Class Open Set Classification
Zongyuan Ge
S. Demyanov
Zetao Chen
R. Garnavi
VLM
62
383
0
24 Jul 2017
Enhancing The Reliability of Out-of-distribution Image Detection in
  Neural Networks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
Shiyu Liang
Yixuan Li
R. Srikant
UQCVOODD
168
2,072
0
08 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
520
10,330
0
16 Nov 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational
  Autoencoders
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders
Nat Dilokthanakul
P. Mediano
M. Garnelo
M. J. Lee
Hugh Salimbeni
Kai Arulkumaran
Murray Shanahan
DRL
64
658
0
08 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
775
36,813
0
25 Aug 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
349
7,985
0
23 May 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,184
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
377
14,253
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDLEDL
104
1,427
0
19 Nov 2015
Adversarial Autoencoders
Adversarial Autoencoders
Alireza Makhzani
Jonathon Shlens
Navdeep Jaitly
Ian Goodfellow
Brendan J. Frey
GAN
89
2,228
0
18 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
100
2,338
0
10 Jun 2015
Towards Open World Recognition
Towards Open World Recognition
Abhijit Bendale
Terrance Boult
76
565
0
18 Dec 2014
NICE: Non-linear Independent Components Estimation
NICE: Non-linear Independent Components Estimation
Laurent Dinh
David M. Krueger
Yoshua Bengio
DRLBDL
126
2,261
0
30 Oct 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
477
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
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