Towards Open World Recognition

18 December 2014

Terrance Boult

Papers citing "Towards Open World Recognition"

50 / 299 papers shown

Title
Text Classification with Novelty Detection Qi Qin Wenpeng Hu Bing-Quan Liu 48 3 0 23 Sep 2020
Into the Unknown: Active Monitoring of Neural Networks Anna Lukina Christian Schilling T. Henzinger AAML 32 27 0 14 Sep 2020
Improved Robustness to Open Set Inputs via Tempered Mixup Ryne Roady Tyler L. Hayes Christopher Kanan VLM OOD AAML 21 5 0 10 Sep 2020
Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning Shengjie Liu Q. Shi Lefei Zhang VLM 27 175 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 30 146 0 03 Sep 2020
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 37 9 0 28 Aug 2020
Open Set Recognition with Conditional Probabilistic Generative Models Xin Sun Chi Zhang Guosheng Lin K. Ling BDL DRL 15 10 0 12 Aug 2020
Towards Recognizing Unseen Categories in Unseen Domains Massimiliano Mancini Zeynep Akata Elisa Ricci Barbara Caputo VLM 71 100 0 23 Jul 2020
Are Labels Always Necessary for Classifier Accuracy Evaluation? Weijian Deng Liang Zheng 29 114 0 06 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 22 2 0 06 Jul 2020
Deep Active Learning via Open Set Recognition J. Mandivarapu Blake Camp Rolando Estrada BDL VLM UQCV EDL DRL 32 8 0 04 Jul 2020
ATOM: Robustifying Out-of-distribution Detection Using Outlier Mining Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 24 135 0 26 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 36 105 0 16 Jun 2020
Weakly-supervised Temporal Action Localization by Uncertainty Modeling Pilhyeon Lee Jinglu Wang Yan Lu H. Byun EDL 25 11 0 12 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 26 103 0 12 Jun 2020
Are We Hungry for 3D LiDAR Data for Semantic Segmentation? A Survey and Experimental Study Biao Gao Yancheng Pan Chengkun Li Sibo Geng Huijing Zhao 3DPC 29 25 0 08 Jun 2020
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD 14 22 0 07 Jun 2020
Automatic Discovery of Novel Intents & Domains from Text Utterances Nikhita Vedula Rahul Gupta Aman Alok Mukund Sridhar 30 12 0 22 May 2020
Boosting Deep Open World Recognition by Clustering Dario Fontanel Fabio Cermelli Massimiliano Mancini Samuel Rota Buló Elisa Ricci Barbara Caputo 20 21 0 20 Apr 2020
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition Jaeyeon Jang Chang Ouk Kim UQCV 32 11 0 17 Apr 2020
Class Anchor Clustering: a Loss for Distance-based Open Set Recognition Dimity Miller Niko Sünderhauf Michael Milford Feras Dayoub 11 6 0 06 Apr 2020
Robust Out-of-distribution Detection for Neural Networks Jiefeng Chen Yixuan Li Xi Wu Yingyu Liang S. Jha OODD 161 85 0 21 Mar 2020
Conditional Gaussian Distribution Learning for Open Set Recognition Xin Sun Zhen Yang Chi Zhang Guohao Peng K. Ling BDL UQCV 157 217 0 19 Mar 2020
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 43 20 0 18 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 24 561 0 26 Feb 2020
CRL: Class Representative Learning for Image Classification Mayanka Chandrashekar Yugyung Lee VLM 18 1 0 16 Feb 2020
Semi-Supervised Class Discovery Jeremy Nixon J. Liu David Berthelot 20 2 0 10 Feb 2020
Towards Open-Set Semantic Segmentation of Aerial Images C. Silva Keiller Nogueira Hugo Oliveira J. A. dos Santos 17 20 0 27 Jan 2020
What can robotics research learn from computer vision research? Peter Corke Feras Dayoub David Hall John Skinner Niko Sünderhauf 24 7 0 08 Jan 2020
Continual egocentric object recognition L. Erculiani Fausto Giunchiglia Andrea Passerini CLL EgoV 7 13 0 06 Dec 2019
Outside the Box: Abstraction-Based Monitoring of Neural Networks T. Henzinger Anna Lukina Christian Schilling AAML 38 59 0 20 Nov 2019
Moving Towards Open Set Incremental Learning: Readily Discovering New Authors Justin Leo Jugal Kalita CLL BDL 6 7 0 28 Oct 2019
Open Set Medical Diagnosis Viraj Prabhu A. Kannan Geoffrey Tso Namit Katariya Manish Chablani David Sontag X. Amatriain 23 9 0 07 Oct 2019
Continual Learning in Neural Networks Rahaf Aljundi CLL 33 33 0 07 Oct 2019
A continual learning survey: Defying forgetting in classification tasks Matthias De Lange Rahaf Aljundi Marc Masana Sarah Parisot Xu Jia A. Leonardis Greg Slabaugh Tinne Tuytelaars CLL KELM 14 246 0 18 Sep 2019
Multi-stage Deep Classifier Cascades for Open World Recognition Xiaojie Guo Amir Alipour-Fanid Lingfei Wu Hemant Purohit Xiang Chen K. Zeng Liang Zhao ObjD 27 12 0 26 Aug 2019
Entropic Out-of-Distribution Detection David Macêdo T. I. Ren Cleber Zanchettin Adriano Oliveira Teresa B Ludermir OODD UQCV 25 32 0 15 Aug 2019
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy Qing Yu Kiyoharu Aizawa OODD 19 164 0 14 Aug 2019
Outlier Exposure with Confidence Control for Out-of-Distribution Detection Aristotelis-Angelos Papadopoulos Mohammad Reza Rajati Nazim Shaikh Jiamian Wang OODD 19 1 0 08 Jun 2019
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition Massimiliano Mancini H. Karaoğuz Elisa Ricci Patric Jensfelt Barbara Caputo 28 24 0 04 Jun 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 27 40 0 28 May 2019
P-ODN: Prototype based Open Deep Network for Open Set Recognition Yu Shu Yemin Shi Yaowei Wang Tiejun Huang Yonghong Tian 27 63 0 06 May 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 32 26 0 05 May 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning Thanh-Toan Do Toan M. Tran Ian Reid B. V. Kumar Tuan Hoang G. Carneiro 30 66 0 18 Apr 2019
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition Poojan Oza Vishal M. Patel 17 316 0 02 Apr 2019
Deep CNN-based Multi-task Learning for Open-Set Recognition Poojan Oza Vishal M. Patel 24 35 0 07 Mar 2019
Integrating Propositional and Relational Label Side Information for Hierarchical Zero-Shot Image Classification Colin Samplawski H. Kwon Erik Learned-Miller Benjamin M. Marlin VLM 24 1 0 14 Feb 2019
ODN: Opening the Deep Network for Open-set Action Recognition Yu Shu Yemin Shi Yaowei Wang Yixiong Zou Qingsheng Yuan Yonghong Tian 21 47 0 23 Jan 2019
A Survey on Multi-output Learning Donna Xu Yaxin Shi Ivor W. Tsang Yew-Soon Ong Chen Gong Xiaobo Shen 27 5 0 02 Jan 2019
Classification-Reconstruction Learning for Open-Set Recognition Ryota Yoshihashi Wen Shao Rei Kawakami Shaodi You M. Iida T. Naemura BDL 25 323 0 11 Dec 2018