Recent Advances in Open Set Recognition: A Survey

21 November 2018

Papers citing "Recent Advances in Open Set Recognition: A Survey"

25 / 275 papers shown

Title
Fully Convolutional Open Set Segmentation Hugo Oliveira C. Silva Gabriel L. S. Machado Keiller Nogueira J. A. dos Santos SSeg 33 27 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 20 104 0 16 Jun 2020
More Information Supervised Probabilistic Deep Face Embedding Learning Ying Huang Shangfeng Qiu Wenwei Zhang Xianghui Luo Jinzhuo Wang CVBM 19 2 0 08 Jun 2020
Open-Set Recognition with Gaussian Mixture Variational Autoencoders Alexander Cao Yuan Luo Diego Klabjan VLM BDL DRL 14 33 0 03 Jun 2020
A Review of Computer Vision Methods in Network Security Jiawei Zhao Rahat Masood Suranga Seneviratne AAML 18 47 0 07 May 2020
SR2CNN: Zero-Shot Learning for Signal Recognition Yihong Dong Xiaohan Jiang Huaji Zhou Yun Lin Qingjiang Shi 6 84 0 10 Apr 2020
Deep Learning and Open Set Malware Classification: A Survey Jingyun Jia 6 2 0 08 Apr 2020
DeepStreamCE: A Streaming Approach to Concept Evolution Detection in Deep Neural Networks Lorraine Chambers M. Gaber Z. Abdallah 11 4 0 08 Apr 2020
Hybrid Models for Open Set Recognition Hongjie Zhang Ang Li Jie Guo Yanwen Guo BDL 12 183 0 27 Mar 2020
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments Javier Naranjo-Alcazar Sergi Perez-Castanos P. Zuccarello Ana M. Torres Jose J. Lopez Franscesc J. Ferri M. Cobos 13 15 0 26 Feb 2020
Exploratory Machine Learning with Unknown Unknowns Peng Zhao Jia-Wei Shan Yu-Jie Zhang Zhi-Hua Zhou 19 23 0 05 Feb 2020
Open-set learning with augmented categories by exploiting unlabelled data E. Engelbrecht J. D. Preez 28 0 0 04 Feb 2020
Personalized Activity Recognition with Deep Triplet Embeddings D. Burns C. Whyne HAI 11 25 0 15 Jan 2020
Siamese Networks for Large-Scale Author Identification Chakaveh Saedi Mark Dras 28 37 0 23 Dec 2019
AutoScale: Learning to Scale for Crowd Counting and Localization Chenfeng Xu Dingkang Liang Yongchao Xu S. Bai Wei Zhan X. Bai M. Tomizuka 22 105 0 20 Dec 2019
Adjusting Decision Boundary for Class Imbalanced Learning Byungju Kim Junmo Kim 14 76 0 04 Dec 2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 17 141 0 02 Nov 2019
An Unbiased Risk Estimator for Learning with Augmented Classes Yu-Jie Zhang Peng Zhao Zhi-Hua Zhou 8 26 0 21 Oct 2019
Out-of-domain Detection for Natural Language Understanding in Dialog Systems Yinhe Zheng Guanyi Chen Minlie Huang 18 121 0 09 Sep 2019
Generator evaluator-selector net for panoptic image segmentation and splitting unfamiliar objects into parts S. Eppel Alán Aspuru-Guzik 14 1 0 24 Aug 2019
Visual and Semantic Prototypes-Jointly Guided CNN for Generalized Zero-shot Learning Chuanxing Geng Lue Tao Songcan Chen ObjD 10 0 0 12 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 11 66 0 02 Aug 2019
Open-Set Recognition Using Intra-Class Splitting Patrick Schlachter Yiwen Liao Bin Yang BDL MQ VLM 17 32 0 12 Mar 2019
Human Action Recognition and Prediction: A Survey Yu Kong Y. Fu 22 601 0 28 Jun 2018
Open-Set Support Vector Machines Pedro Ribeiro Mendes Júnior Terrance E. Boult Jacques Wainer Anderson de Rezende Rocha VLM 13 18 0 13 Jun 2016