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Open Set Recognition (OSR) is about dealing with unknown situations that were not learned by the models during training.
On optimum recognition error and reject tradeoff
C Chow · 1970
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A statistical decision rule with incomplete knowledge about classes
Bernard Dubuisson and Mylene Masson · 1993
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Novelty detection and neural network validation
Christopher M Bishop · 1994
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Probability inequalities for sums of bounded random variables
Wassily Hoeffding · 1994
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Support-vector networks
Corinna Cortes and Vladimir Vapnik · 1995
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Outliers in statistical pattern recognition and an application to automatic chromosome classification
Gunter Ritter and María Teresa Gallegos · 1997
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Classifier design with incomplete knowledge
Russell Muzzolini, Yee-Hong Yang, and Roger Pierson · 1998
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Moderating the outputs of support vector machine classifiers
JT-Y Kwok · 1999
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Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
John Platt et al · 1999
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Reject option with multiple thresholds
Giorgio Fumera, Fabio Roli, and Giorgio Giacinto · 2000
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Estimating the support of a high-dimensional distribution
Bernhard Schölkopf, John C Platt, John Shawe-Taylor, Alex J Smola, and Robert C Williamson · 2001
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Uniform object generation for optimizing one-class classifiers
David MJ Tax and Robert PW Duin · 2001
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Support vector machines with embedded reject option
Giorgio Fumera and Fabio Roli · 2002
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Novelty detection in learning systems
Stephen Marsland · 2003
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Novelty detection: a review—part 1: statistical approaches
Markos Markou and Sameer Singh · 2003
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Novelty detection: a review—part 2:: neural network based approaches
Markos Markou and Sameer Singh · 2003
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Support vector data description
David MJ Tax and Robert PW Duin · 2004
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A survey of outlier detection methodologies
Victoria Hodge and Jim Austin · 2004
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Open set face recognition using transduction
Fayin Li and Harry Wechsler · 2005
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Active learning to recognize multiple types of plankton
Tong Luo, Kurt Kramer, Dmitry B Goldgof, Lawrence O Hall, Scott Samson, Andrew Remsen, and Thomas Hopkins · 2005
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One-shot learning of object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2006
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Classification with reject option
Radu Herbei and Marten H Wegkamp · 2006
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Ro-svm: Support vector machine with reject option for image categorization
Rong Zhang and Dimitris N Metaxas · 2006
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Generalized bradley-terry models and multi-class probability estimates
Tzu-Kuo Huang, Ruby C Weng, and Chih-Jen Lin · 2006
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Reducing the dimensionality of data with neural networks
Geoffrey E Hinton and Ruslan R Salakhutdinov · 2006
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Lasso type classifiers with a reject option
Marten Wegkamp et al · 2007
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Video-based face recognition on real-world data
Johannes Stallkamp, Hazim K Ekenel, and Rainer Stiefelhagen · 2007
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Classification with a reject option using a hinge loss
Peter L Bartlett and Marten H Wegkamp · 2008
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Growing a multi-class classifier with a reject option
David MJ Tax and Robert PW Duin · 2008
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User-based identification of web genres
Mark A Rosso · 2008
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A survey on transfer learning
Sinno Jialin Pan and Qiang Yang · 2009
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Support vector machines with a reject option
Yves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, and Stéphane Canu · 2009
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Hierarchical face recognition based on svdd and svm
Chang-jun Chen, Yong-zhao Zhan, and Chuan-jun Wen · 2009
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A survey of recent trends in one class classification
Shehroz S Khan and Michael G Madden · 2009
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Anomaly detection: A survey
Varun Chandola, Arindam Banerjee, and Vipin Kumar · 2009
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An n-gram based approach to automatically identifying web page genre
Jane E Mason, Michael Shepherd, and Jack Duffy · 2009
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A brief introduction to weightless neural systems
Igor Aleksander, Massimo De Gregorio, Felipe Maia Galvao França, Priscila Machado Vieira Lima, and Helen Morton · 2009
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Open-set face recognition-based visitor interface system
Hazım Kemal Ekenel, Lorant Szasz-Toth, and Rainer Stiefelhagen · 2009
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Classification methods with reject option based on convex risk minimization
Ming Yuan and Marten Wegkamp · 2010
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, and Andrew Zisserman · 2010
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Evaluation methods in face recognition
P Jonathon Phillips, Patrick Grother, and Ross Micheals · 2011
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Meta-recognition: The theory and practice of recognition score analysis
Walter J Scheirer, Anderson Rocha, Ross J Micheals, and Terrance E Boult · 2011
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Handbook of face recognition
Anil K Jain and Stan Z Li · 2011
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Toward open set recognition
Walter J Scheirer, Anderson de Rezende Rocha, Archana Sapkota, and Terrance E Boult · 2012
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Extreme value theory in engineering
Enrique Castillo · 2012
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Kernel null space methods for novelty detection
Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, and Joachim Denzler · 2013
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Distance-based image classification: Generalizing to new classes at near-zero cost
Thomas Mensink, Jakob Verbeek, Florent Perronnin, and Gabriela Csurka · 2013
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Open-set classification for automated genre identification
Dimitrios A Pritsos and Efstathios Stamatatos · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2013
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Lifelong machine learning systems: Beyond learning algorithms
Daniel L Silver, Qiang Yang, and Lianghao Li · 2013
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Attribute-based classification for zero-shot visual object categorization
Christoph H Lampert, Hannes Nickisch, and Stefan Harmeling · 2013
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Evaluating open-universe face identification on the web
Brian Becker and Enrique Ortiz · 2013
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Multi-class open set recognition using probability of inclusion
Lalit P Jain, Walter J Scheirer, and Terrance E Boult · 2014
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Probability models for open set recognition
Walter J Scheirer, Lalit P Jain, and Terrance E Boult · 2014
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Learning with augmented class by exploiting unlabeled data
Qing Da, Yang Yu, and Zhi-Hua Zhou · 2014
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Combination of one-class support vector machines for classification with reject option
Blaise Hanczar and Michèle Sebag · 2014
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Classification with rejection based on various svm techniques
Wladyslaw Homenda, Marcin Luckner, and Witold Pedrycz · 2014
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A review of novelty detection
Marco AF Pimentel, David A Clifton, Lei Clifton, and Lionel Tarassenko · 2014
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Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Incremental learning of ncm forests for large-scale image classification
Marko Ristin, Matthieu Guillaumin, Juergen Gall, and Luc Van Gool · 2014
Cited alongside, same era.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Cited alongside, same era.
Convolutional neural networks for sentence classification
Yoon Kim · 2014
Cited alongside, same era.
Open set source camera attribution and device linking
Filipe de O Costa, Ewerton Silva, Michael Eckmann, Walter J Scheirer, and Anderson Rocha · 2014
Cited alongside, same era.
Learning person-specific representations from faces in the wild
Giovani Chiachia, Alexandre X Falcao, Nicolas Pinto, Anderson Rocha, and David Cox · 2014
Cited alongside, same era.
Extreme value theory-based methods for visual recognition
Walter J Scheirer · 2017
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Open set intrusion recognition for fine-grained attack categorization
Steve Cruz, Cora Coleman, Ethan M Rudd, and Terrance E Boult · 2017
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Incremental open set intrusion recognition using extreme value machine
James Henrydoss, Steve Cruz, Ethan M Rudd, Terrance E Boult, et al · 2017
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Toward open-set face recognition
Manuel Gunther, Steve Cruz, Ethan M Rudd, and Terrance E Boult · 2017
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Adversarial robustness: Softmax versus openmax
Andras Rozsa, Manuel Günther, and Terrance E Boult · 2017
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Detecting adversarial image examples in deep networks with adaptive noise reduction
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Lacey Best-Rowden, Hu Han, Charles Otto, Brendan F Klare, and Anil K Jain · 2014
Cited alongside, same era.
A benchmark study of large-scale unconstrained face recognition
Shengcai Liao, Zhen Lei, Dong Yi, and Stan Z Li · 2014
Cited alongside, same era.
Face recognition for web-scale datasets
Enrique G Ortiz and Brian C Becker · 2014
Cited alongside, same era.
Towards open world recognition
Abhijit Bendale and Terrance Boult · 2015
Cited alongside, same era.
Visual domain adaptation: A survey of recent advances
Vishal M Patel, Raghuraman Gopalan, Ruonan Li, and Rama Chellappa · 2015
Cited alongside, same era.
Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
Cited alongside, same era.
A bounded neural network for open set recognition
Douglas O Cardoso, Felipe França, and Joao Gama · 2015
Cited alongside, same era.
Bin Liang, Hongcheng Li, Miaoqiang Su, Xirong Li, Wenchang Shi, and Xiaofeng Wang · 2017
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Detecting adversarial samples from artifacts
Reuben Feinman, Ryan R Curtin, Saurabh Shintre, and Andrew B Gardner · 2017
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On the (statistical) detection of adversarial examples
Kathrin Grosse, Praveen Manoharan, Nicolas Papernot, Michael Backes, and Patrick McDaniel · 2017
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Adversarial examples are not easily detected: Bypassing ten detection methods
Nicholas Carlini and David Wagner · 2017
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Mitigating fooling with competitive overcomplete output layer neural networks
Navid Kardan and Kenneth O Stanley · 2017
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A deeper look at dataset bias
Tatiana Tommasi, Novi Patricia, Barbara Caputo, and Tinne Tuytelaars · 2017
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Open-set deep learning for text classification
Sridhama Prakhya, Vinodini Venkataram, and Jugal Kalita · 2017
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Open set text classification using cnns
Sridhama Prakhya, Vinodini Venkataram, and Jugal Kalita · 2017
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Unbounded cache model for online language modeling with open vocabulary
Edouard Grave, Moustapha M Cisse, and Armand Joulin · 2017
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Towards accurate building recognition using convolutional neural networks
Jeanfranco D Farfan-Escobedo, Lauro Enciso-Rodas, and John E Vargas-Muñoz · 2017
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Probabilistic svm for open set automatic target recognition on high range resolution radar data
Jason D Roos and Arnab K Shaw · 2017
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Extreme value analysis for mobile active user authentication
Pramuditha Perera and Vishal M Patel · 2017
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On the feasibility of classification-based product package authentication
Rudolf Schraml, Luca Debiasi, Cristof Kauba, and Andreas Uhl · 2017
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Challenges in detecting uas with radar
Pierre Poitevin, Michel Pelletier, and Patrick Lamontagne · 2017
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Open set recognition of aircraft in aerial imagery using synthetic template models
Aleksander B Bapst, Jonathan Tran, Mark W Koch, Mary M Moya, and Robert Swahn · 2017
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Zero-shot learning-the good, the bad and the ugly
Yongqin Xian, Bernt Schiele, and Zeynep Akata · 2017
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Unconstrained face detection and open-set face recognition challenge
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, et al · 2017
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Open-set face recognition across look-alike faces in real-world scenarios
Ali Moeini, Karim Faez, Hossein Moeini, and Armon Matthew Safai · 2017
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A survey on deep transfer learning
Chuanqi Tan, Fuchun Sun, Tao Kong, Wenchang Zhang, Chao Yang, and Chunfang Liu · 2018
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Recent advances in zero-shot recognition: Toward data-efficient understanding of visual content
Yanwei Fu, Tao Xiang, Yu-Gang Jiang, Xiangyang Xue, Leonid Sigal, and Shaogang Gong · 2018
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Extreme value theory for open set classification-gpd and gev classifiers
Edoardo Vignotto and Sebastian Engelke · 2018
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Open set learning with counterfactual images
Lawrence Neal, Matthew Olson, Xiaoli Fern, Weng-Keen Wong, and Fuxin Li · 2018
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Open set recognition by regularising classifier with fake data generated by generative adversarial networks
Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, and Seungjin Choi · 2018
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Reducing network agnostophobia
Akshay Raj Dhamija, Manuel Günther, and Terrance Boult · 2018
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Open set domain adaptation by backpropagation
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, and Tatsuya Harada · 2018
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Open set evaluation of web genre identification
Dimitrios Pritsos and Efstathios Stamatatos · 2018
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Learning a neural-network-based representation for open set recognition
Mehadi Hassen and Philip K Chan · 2018
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And: Autoregressive novelty detectors
Davide Abati, Angelo Porrello, Simone Calderara, and Rita Cucchiara · 2018
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Deep anomaly detection using geometric transformations
Izhak Golan and Ran El-Yaniv · 2018
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Adversarially learned one-class classifier for novelty detection
Mohammad Sabokrou, Mohammad Khalooei, Mahmood Fathy, and Ehsan Adeli · 2018
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Deep anomaly detection with outlier exposure
Dan Hendrycks, Mantas Mazeika, and Thomas G Dietterich · 2018
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There and back again: Outlier detection between statistical reasoning and data mining algorithms
Arthur Zimek and Peter Filzmoser · 2018
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Unseen class discovery in open-world classification
Lei Shu, Hu Xu, and Bing Liu · 2018
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Open Set Text Classification Using Neural Networks
Vinodini Molukuvan Venkataram · 2018
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Open vocabulary learning on source code with a graph-structured cache
Milan Cvitkovic, Badal Singh, and Anima Anandkumar · 2018
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Audio event recognition in the smart home
Sacha Krstulović · 2018
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Data-fusion techniques for open-set recognition problems
Manuel Alberto Córdova Neira, Pedro Ribeiro Mendes Júnior, Anderson Rocha, and Ricardo Da Silva Torres · 2018
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Connecting the dots: Toward accountable machine-learning printer attribution methods
Luiz C Navarro, Alexandre KW Navarro, Anderson Rocha, and Ricardo Dahab · 2018
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Zero-shot learning-a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
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Failing to learn: Autonomously identifying perception failures for self-driving cars
Manikandasriram Srinivasan Ramanagopal, Cyrus Anderson, Ram Vasudevan, and Matthew Johnson-Roberson · 2018
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Towards open-set identity preserving face synthesis
Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, and Gang Hua · 2018
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A survey of zero-shot learning: Settings, methods, and applications
Wei Wang, Vincent W Zheng, Han Yu, and Chunyan Miao · 2019
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Classification-reconstruction learning for open-set recognition
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, and Takeshi Naemura · 2019
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Open-set human activity recognition based on micro-doppler signatures
Yang Yang, Chunping Hou, Yue Lang, Dai Guan, Danyang Huang, and Jinchen Xu · 2019
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C2ae: Class conditioned auto-encoder for open-set recognition
Poojan Oza and Vishal M Patel · 2019
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Separate to adapt: Open set domain adaptation via progressive separation
Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Qiang Yang · 2019
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Deep cnn-based multi-task learning for open-set recognition
Poojan Oza and Vishal M Patel · 2019
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Known-class aware self-ensemble for open set domain adaptation
Qing Lian, Wen Li, Lin Chen, and Lixin Duan · 2019
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Learning deep features for one-class classification
Pramuditha Perera and Vishal M Patel · 2019
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Lgnd: a new method for multi-class novelty detection
Jingjing Tang, Yingjie Tian, and Xiaohui Liu · 2019
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Open-set web genre identification using distributional features and nearest neighbors distance ratio
Dimitrios Pritsos, Anderson Rocha, and Efstathios Stamatatos · 2019
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Learning and the unknown: Surveying steps toward open world recognition
TE Boult, S Cruz, A Dhamija, M Gunther, J Henrydoss, and W Scheirer · 2019
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Adversarial examples: Attacks and defenses for deep learning
Xiaoyong Yuan, Pan He, Qile Zhu, and Xiaolin Li · 2019
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Open set driver activity recognition
Alina Roitberg, Chaoxiang Ma, Monica Haurilet, and Rainer Stiefelhagen · 2020
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