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Towards Open World Recognition

Towards Open World Recognition

18 December 2014
Abhijit Bendale
Terrance Boult
ArXivPDFHTML

Papers citing "Towards Open World Recognition"

49 / 299 papers shown
Title
Recent Advances in Open Set Recognition: A Survey
Recent Advances in Open Set Recognition: A Survey
Chuanxing Geng
Sheng-Jun Huang
Songcan Chen
BDL
ObjD
59
759
0
21 Nov 2018
Learning the Compositional Spaces for Generalized Zero-shot Learning
Learning the Compositional Spaces for Generalized Zero-shot Learning
Hanze Dong
Yanwei Fu
Sung Ju Hwang
Leonid Sigal
Xiangyang Xue
21
2
0
17 Oct 2018
Distribution Networks for Open Set Learning
Distribution Networks for Open Set Learning
Chengsheng Mao
Liang Yao
Yuan Luo
OOD
39
2
0
20 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques
  in Object Detection
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection
Dimity Miller
Feras Dayoub
Michael Milford
Niko Sünderhauf
23
105
0
17 Sep 2018
Open-world Learning and Application to Product Classification
Open-world Learning and Application to Product Classification
Hu Xu
Bing-Quan Liu
Lei Shu
P. Yu
CLL
VLM
35
110
0
17 Sep 2018
Analysis of Risk Factor Domains in Psychosis Patient Health Records
Analysis of Risk Factor Domains in Psychosis Patient Health Records
E. Holderness
Nicholas Miller
P. Cawkwell
Kirsten Bolton
James Pustejovsky
M. Meteer
M. Hall
11
13
0
15 Sep 2018
Out-of-Distribution Detection Using an Ensemble of Self Supervised
  Leave-out Classifiers
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers
Apoorv Vyas
Nataraj Jammalamadaka
Xia Zhu
Dipankar Das
Bharat Kaul
Theodore L. Willke
OODD
27
247
0
04 Sep 2018
Extreme Value Theory for Open Set Classification -- GPD and GEV
  Classifiers
Extreme Value Theory for Open Set Classification -- GPD and GEV Classifiers
Edoardo Vignotto
Sebastian Engelke
11
16
0
29 Aug 2018
Visual Question Generation for Class Acquisition of Unknown Objects
Visual Question Generation for Class Acquisition of Unknown Objects
Kohei Uehara
Antonio Tejero-de-Pablos
Yoshitaka Ushiku
Tatsuya Harada
14
20
0
06 Aug 2018
A Probabilistic Theory of Supervised Similarity Learning for Pointwise
  ROC Curve Optimization
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
Robin Vogel
A. Bellet
Stéphan Clémençon
20
11
0
18 Jul 2018
Interpretable Latent Spaces for Learning from Demonstration
Interpretable Latent Spaces for Learning from Demonstration
Yordan V. Hristov
A. Lascarides
S. Ramamoorthy
9
23
0
17 Jul 2018
A Survey of Knowledge Representation in Service Robotics
A Survey of Knowledge Representation in Service Robotics
D. Paulius
Yu Sun
25
94
0
05 Jul 2018
Collective decision for open set recognition
Collective decision for open set recognition
Chuanxing Geng
Songcan Chen
BDL
8
43
0
29 Jun 2018
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Syn2Real: A New Benchmark forSynthetic-to-Real Visual Domain Adaptation
Xingchao Peng
Ben Usman
Kuniaki Saito
Neela Kaushik
Judy Hoffman
Kate Saenko
18
75
0
26 Jun 2018
RepMet: Representative-based metric learning for classification and
  one-shot object detection
RepMet: Representative-based metric learning for classification and one-shot object detection
Leonid Karlinsky
J. Shtok
Sivan Harary
Eli Schwartz
Mattias Marder
Rogerio Feris
Raja Giryes
A. Bronstein
VLM
ObjD
22
318
0
12 Jun 2018
Learning Factorized Representations for Open-set Domain Adaptation
Learning Factorized Representations for Open-set Domain Adaptation
Mahsa Baktash
M. Faraki
Tom Drummond
Mathieu Salzmann
OOD
37
53
0
31 May 2018
Surveillance Face Recognition Challenge
Surveillance Face Recognition Challenge
Zhiyi Cheng
Xiatian Zhu
S. Gong
CVBM
AAML
27
68
0
25 Apr 2018
The Limits and Potentials of Deep Learning for Robotics
The Limits and Potentials of Deep Learning for Robotics
Niko Sünderhauf
Oliver Brock
Walter J. Scheirer
R. Hadsell
Dieter Fox
...
B. Upcroft
Pieter Abbeel
Wolfram Burgard
Michael Milford
Peter Corke
17
522
0
18 Apr 2018
KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its
  Specifications
KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications
Rémy Sun
Christoph H. Lampert
16
7
0
11 Apr 2018
Personalized Classifier for Food Image Recognition
Personalized Classifier for Food Image Recognition
Shota Horiguchi
Sosuke Amano
Makoto Ogawa
Kiyoharu Aizawa
16
71
0
08 Apr 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
11
110
0
12 Feb 2018
ClassSim: Similarity between Classes Defined by Misclassification Ratios
  of Trained Classifiers
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers
Kazuma Arino
Yohei Kikuta
18
1
0
05 Feb 2018
Unseen Class Discovery in Open-world Classification
Unseen Class Discovery in Open-world Classification
Lei Shu
Hu Xu
Bing-Quan Liu
27
70
0
17 Jan 2018
Memory Based Online Learning of Deep Representations from Video Streams
Memory Based Online Learning of Deep Representations from Video Streams
F. Pernici
F. Bartoli
Matteo Bruni
A. Bimbo
CVBM
41
29
0
17 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
21
175
0
13 Oct 2017
Denoising Autoencoders for Overgeneralization in Neural Networks
Denoising Autoencoders for Overgeneralization in Neural Networks
G. Spigler
UQCV
AI4CE
14
26
0
14 Sep 2017
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks
Surat Teerapittayanon
Bradley McDanel
H. T. Kung
UQCV
33
1,118
0
06 Sep 2017
Open-World Visual Recognition Using Knowledge Graphs
Open-World Visual Recognition Using Knowledge Graphs
V. Lonij
Ambrish Rawat
Maria-Irina Nicolae
37
15
0
28 Aug 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
36
375
0
24 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Unsupervised Adaptive Re-identification in Open World Dynamic Camera
  Networks
Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks
Yikang Shen
Amran Bhuiyan
Vittorio Murino
Amit K. Roy-Chowdhury
30
35
0
09 Jun 2017
Vocabulary-informed Extreme Value Learning
Yanwei Fu
Hanze Dong
Yu-Feng Ma
Zhengjun Zhang
Xiangyang Xue
VLM
15
4
0
28 May 2017
Open-Category Classification by Adversarial Sample Generation
Open-Category Classification by Adversarial Sample Generation
Yang Yu
Wei-Yang Qu
Nan Li
Zimin Guo
VLM
GAN
19
80
0
24 May 2017
Using Human Brain Activity to Guide Machine Learning
Using Human Brain Activity to Guide Machine Learning
Ruth C. Fong
Walter J. Scheirer
David D. Cox
3DH
27
95
0
16 Mar 2017
Geometry-Based Region Proposals for Real-Time Robot Detection of
  Tabletop Objects
Geometry-Based Region Proposals for Real-Time Robot Detection of Tabletop Objects
Alexander Broad
B. Argall
3DPC
21
0
0
14 Mar 2017
Incremental Learning for Robot Perception through HRI
Incremental Learning for Robot Perception through HRI
Sepehr Valipour
C. P. Quintero
Martin Jägersand
SSL
CLL
19
32
0
17 Jan 2017
Learning Visual N-Grams from Web Data
Learning Visual N-Grams from Web Data
Ang Li
Allan Jabri
Armand Joulin
Laurens van der Maaten
VLM
20
136
0
29 Dec 2016
Human Action Attribute Learning From Video Data Using Low-Rank
  Representations
Human Action Attribute Learning From Video Data Using Low-Rank Representations
Tong Wu
Prudhvi K. Gurram
Raghuveer Rao
W. Bajwa
19
2
0
23 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
46
1,680
0
01 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
51
3,678
0
23 Nov 2016
Local Similarity-Aware Deep Feature Embedding
Local Similarity-Aware Deep Feature Embedding
Chen Huang
Chen Change Loy
Xiaoou Tang
32
175
0
27 Oct 2016
One-Class Slab Support Vector Machine
One-Class Slab Support Vector Machine
Victor Fragoso
Walter J. Scheirer
J. Hespanha
M. Turk
VLM
17
7
0
02 Aug 2016
Multi-Camera Action Dataset for Cross-Camera Action Recognition
  Benchmarking
Multi-Camera Action Dataset for Cross-Camera Action Recognition Benchmarking
Wenhui Li
Yongkang Wong
Anan Liu
Yongqian Li
Yuting Su
Mohan Kankanhalli
23
19
0
21 Jul 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Semi-supervised Vocabulary-informed Learning
Semi-supervised Vocabulary-informed Learning
Yanwei Fu
Leonid Sigal
VLM
8
132
0
24 Apr 2016
Online Open World Recognition
Online Open World Recognition
R. D. Rosa
Thomas Mensink
Barbara Caputo
OffRL
CLL
11
25
0
08 Apr 2016
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps
  Toward Autonomous Open World Solutions
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions
Ethan M. Rudd
Andras Rozsa
Manuel Günther
Terrance E. Boult
28
154
0
19 Mar 2016
Towards Open Set Deep Networks
Towards Open Set Deep Networks
Abhijit Bendale
Terrance Boult
BDL
EDL
40
1,402
0
19 Nov 2015
The Extreme Value Machine
The Extreme Value Machine
Ethan M. Rudd
Lalit P. Jain
Walter J. Scheirer
Terrance E. Boult
VLM
22
295
0
19 Jun 2015
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