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Classification-Reconstruction Learning for Open-Set Recognition

11 December 2018

Papers citing "Classification-Reconstruction Learning for Open-Set Recognition"

50 / 151 papers shown

Title
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 69 5 0 14 Sep 2021
Recognition Awareness: An Application of Latent Cognizance to Open-Set Recognition Tatpong Katanyukul Pisit Nakjai BDL 134 1 0 27 Aug 2021
An Adaptable Deep Learning-Based Intrusion Detection System to Zero-Day Attacks Mahdi Soltani Behzad Ousat M. J. Siavoshani A. Jahangir AAML 71 47 0 20 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 98 35 0 18 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 203 31 0 13 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Fangqiu Yi Guosheng Lin K. Ling 81 17 0 05 Aug 2021
External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery I. Sledge Christopher Toole J. Maestri José C. Príncipe 94 1 0 22 Jul 2021
Thinkback: Task-SpecificOut-of-Distribution Detection Lixuan Yang Dario Rossi OODD 46 1 0 13 Jul 2021
Adversarial Motorial Prototype Framework for Open Set Recognition Ziheng Xia Penghui Wang Ganggang Dong Hongwei Liu 36 9 0 13 Jul 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 75 61 0 30 Jun 2021
Open-Set Representation Learning through Combinatorial Embedding Geeho Kim Junoh Kang Bohyung Han 34 1 0 29 Jun 2021
Self-supervised Detransformation Autoencoder for Representation Learning in Open Set Recognition Jingyun Jia P. Chan ViT 21 5 0 28 May 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 106 96 0 27 May 2021
Opening Deep Neural Networks with Generative Models Marcos Vendramini Hugo Oliveira A. Machado J. A. dos Santos VLM 53 7 0 20 May 2021
Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios Lakshman Balasubramanian Friedrich Kruber M. Botsch Ke Deng 52 12 0 17 May 2021
Conditional Variational Capsule Network for Open Set Recognition Yunrui Guo Guglielmo Camporese Wenjing Yang A. Sperduti Lamberto Ballan BDL 73 45 0 19 Apr 2021
Zero-Shot Instance Segmentation Ye Zheng Jiahong Wu Yongqiang Qin Faen Zhang Li Cui ISeg VLM 77 54 0 14 Apr 2021
OVANet: One-vs-All Network for Universal Domain Adaptation Kuniaki Saito Kate Saenko 130 151 0 07 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 41 50 0 07 Apr 2021
Uncertainty for Identifying Open-Set Errors in Visual Object Detection Dimity Miller Niko Sünderhauf Michael Milford Feras Dayoub EDL 91 48 0 03 Apr 2021
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 88 2 0 23 Mar 2021
SSD: A Unified Framework for Self-Supervised Outlier Detection Vikash Sehwag M. Chiang Prateek Mittal OODD 128 346 0 22 Mar 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 104 27 0 18 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 247 197 0 01 Mar 2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches Jasmin Breitenstein Jan-Aike Termöhlen Daniel Lipinski Tim Fingscheidt AAML 145 35 0 11 Feb 2021
Model Rectification via Unknown Unknowns Extraction from Deployment Samples B. Abrahao Zechuan Wang Haider Ahmed Yuchen Zhu 33 0 0 08 Feb 2021
Hyperspherical embedding for novel class classification R. S. Pereira Alexis Joly P. Valduriez Fábio Porto 23 2 0 05 Feb 2021
A Review of Open-World Learning and Steps Toward Open-World Learning Without Labels Mohsen Jafarzadeh A. Dhamija Steve Cruz Chunchun Li T. Ahmad Terrance E. Boult VLM OffRL 94 9 0 25 Nov 2020
Automatic Open-World Reliability Assessment Mohsen Jafarzadeh T. Ahmad A. Dhamija Chunchun Li Steve Cruz Terrance E. Boult 149 11 0 11 Nov 2020
Learning Open Set Network with Discriminative Reciprocal Points Guangyao Chen Limeng Qiao Yemin Shi Peixi Peng Jia Li Tiejun Huang Shiliang Pu Yonghong Tian UQCV EDL 61 196 0 31 Oct 2020
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification Ayush Bhardwaj Sakshee Pimpale S. Kumar Biplab Banerjee 3DPC 40 15 0 25 Oct 2020
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph Jingkang Yang Weirong Chen Xue Jiang Xiaopeng Yan Huabin Zheng Wayne Zhang NoLa 77 13 0 12 Oct 2020
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning Shengjie Liu Q. Shi Lefei Zhang VLM 55 181 0 08 Sep 2020
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning Martin Mundt Yongjun Hong Iuliia Pliushch Visvanathan Ramesh CLL 146 153 0 03 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 121 32 0 02 Sep 2020
Deep Learning Based Open Set Acoustic Scene Classification Zuzanna Kwiatkowska Beniamin Kalinowski Michal Kosmider Krzysztof Rykaczewski 63 5 0 17 Aug 2020
Open Set Recognition with Conditional Probabilistic Generative Models Xin Sun Chi Zhang Guosheng Lin K. Ling BDL DRL 82 12 0 12 Aug 2020
Representative-Discriminative Learning for Open-set Land Cover Classification of Satellite Imagery Razieh Kaviani Baghbaderani Ying Qu Hairong Qi Craig Stutts 110 17 0 21 Jul 2020
Fully Convolutional Open Set Segmentation Hugo Oliveira C. Silva Gabriel L. S. Machado Keiller Nogueira J. A. dos Santos SSeg 98 28 0 25 Jun 2020
Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning William Andrew Jing Gao Siobhan Mullan Neill D. F. Campbell A. W. Dowsey T. Burghardt 150 106 0 16 Jun 2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders Alexander Cao Yuan Luo Diego Klabjan VLM BDL DRL 70 36 0 03 Jun 2020
A Review of Computer Vision Methods in Network Security Jiawei Zhao Rahat Masood Suranga Seneviratne AAML 52 48 0 07 May 2020
DIET: Lightweight Language Understanding for Dialogue Systems Tanja Bunk Daksh Varshneya Vladimir Vlasov Alan Nichol 74 162 0 21 Apr 2020
SR2CNN: Zero-Shot Learning for Signal Recognition Yihong Dong Xiaohan Jiang Huaji Zhou Yun Lin Qingjiang Shi 76 88 0 10 Apr 2020
Class Anchor Clustering: a Loss for Distance-based Open Set Recognition Dimity Miller Niko Sünderhauf Michael Milford Feras Dayoub 52 7 0 06 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 181 186 0 27 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 214 224 0 19 Mar 2020
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 72 168 0 14 Aug 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 79 26 0 05 May 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 79 35 0 07 Mar 2019