Towards Open World Recognition

18 December 2014

Terrance Boult

Papers citing "Towards Open World Recognition"

50 / 299 papers shown

Title
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead Kamil Szyc T. Walkowiak H. Maciejewski OODD 27 0 0 13 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach Qitian Wu Chenxiao Yang Junchi Yan 27 32 0 09 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 27 35 0 07 Oct 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 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 148 30 0 13 Aug 2021
Deep Metric Learning for Open World Semantic Segmentation Jun Cen Peng Yun Junhao Cai M. Y. Wang Ming Liu 14 84 0 10 Aug 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 23 17 0 05 Aug 2021
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe Lin Philip Torr Jiaya Jia OCL SSeg VLM 42 80 0 29 Jul 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 27 18 0 29 Jul 2021
Evidential Deep Learning for Open Set Action Recognition Wentao Bao Qi Yu Yu Kong CML EDL 26 135 0 21 Jul 2021
On the Challenges of Open World Recognitionunder Shifting Visual Domains Dario Fontanel Fabio Cermelli Massimiliano Mancini Barbara Caputo 32 1 0 09 Jul 2021
Disentangling Transfer and Interference in Multi-Domain Learning Yipeng Zhang Tyler L. Hayes Christopher Kanan 53 3 0 02 Jul 2021
Open-Set Representation Learning through Combinatorial Embedding Geeho Kim Junoh Kang Bohyung Han 15 1 0 29 Jun 2021
Non-Exhaustive Learning Using Gaussian Mixture Generative Adversarial Networks Jun Zhuang M. Hasan 11 7 0 28 Jun 2021
Continual Novelty Detection Rahaf Aljundi Daniel Olmeda Reino N. Chumerin Richard Turner 27 11 0 24 Jun 2021
The Animal ID Problem: Continual Curation Charles V. Stewart Jason Parham Jason A. Holmberg T. Berger-Wolf 19 8 0 18 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 38 20 0 12 Jun 2021
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation Chenhong Zhou Feng Liu Chen Gong Rongfei Zeng Tongliang Liu W. Cheung Bo Han OOD 60 1 0 11 Jun 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 29 91 0 27 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 26 12 0 17 May 2021
Towards Discovery and Attribution of Open-world GAN Generated Images Sharath Girish Saksham Suri Saketh Rambhatla Abhinav Shrivastava 58 67 0 10 May 2021
The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory Sai Saketh Rambhatla Ramalingam Chellappa Abhinav Shrivastava 25 17 0 04 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 77 67 0 03 May 2021
Towards Visual Semantics Fausto Giunchiglia L. Erculiani Andrea Passerini 22 16 0 26 Apr 2021
Opening up Open-World Tracking Yang Liu Idil Esen Zulfikar Jonathon Luiten Achal Dave Deva Ramanan Bastian Leibe Aljosa Osep Laura Leal-Taixé 28 51 0 22 Apr 2021
Conditional Variational Capsule Network for Open Set Recognition Yunrui Guo Guglielmo Camporese Wenjing Yang A. Sperduti Lamberto Ballan BDL 29 41 0 19 Apr 2021
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation Weiyao Wang Matt Feiszli Heng Wang Du Tran VOS 15 123 0 10 Apr 2021
OpenGAN: Open-Set Recognition via Open Data Generation Shu Kong Deva Ramanan 22 212 0 07 Apr 2021
Learning Placeholders for Open-Set Recognition Da-Wei Zhou Han-Jia Ye De-Chuan Zhan VLM 14 194 0 28 Mar 2021
Human-in-the-loop Handling of Knowledge Drift A. Bontempelli Fausto Giunchiglia Andrea Passerini Stefano Teso 22 6 0 27 Mar 2021
Self-Supervised Training Enhances Online Continual Learning Jhair Gallardo Tyler L. Hayes Christopher Kanan CLL 27 68 0 25 Mar 2021
Boosting Binary Masks for Multi-Domain Learning through Affine Transformations Massimiliano Mancini Elisa Ricci Barbara Caputo Samuel Rota Buló 19 7 0 25 Mar 2021
Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 28 2 0 23 Mar 2021
Learning without Seeing nor Knowing: Towards Open Zero-Shot Learning Federico Marmoreo Julio Ivan Davila Carrazco Vittorio Murino Jacopo Cavazza VLM 19 0 0 23 Mar 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 40 25 0 18 Mar 2021
Towards Open World Object Detection K. J. Joseph Salman Khan Fahad Shahbaz Khan V. Balasubramanian ObjD 30 448 0 03 Mar 2021
Self-Supervised Features Improve Open-World Learning A. Dhamija T. Ahmad Jonathan Schwan Mohsen Jafarzadeh Chunchun Li Terrance E. Boult SSL 32 13 0 15 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 30 178 0 06 Feb 2021
Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 29 126 0 29 Jan 2021
Learning to Segment Rigid Motions from Two Frames Gengshan Yang Deva Ramanan 122 56 0 11 Jan 2021
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural Networks Sebastián M. Palacio P. Engler Jörn Hees Andreas Dengel 24 1 0 07 Jan 2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey Sourav Garg Niko Sünderhauf Feras Dayoub D. Morrison Akansel Cosgun ... Tat-Jun Chin Ian Reid Stephen Gould Peter Corke Michael Milford 31 115 0 02 Jan 2021
Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang Hua Xu Ting-En Lin VLM 26 103 0 18 Dec 2020
Towards Recognizing New Semantic Concepts in New Visual Domains Massimiliano Mancini OOD 31 0 0 16 Dec 2020
Open-World Class Discovery with Kernel Networks Zifeng Wang Batool Salehi Andrey Gritsenko Kaushik R. Chowdhury Stratis Ioannidis Jennifer Dy 31 17 0 13 Dec 2020
A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion T. E. Boult Przemyslaw A. Grabowicz D. Prijatelj R. Stern Lawrence Holder ... C.Li Steve Cruz A. Shrivastava C. Vondrick Walter J. Scheirer OffRL 14 9 0 08 Dec 2020
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 33 9 0 25 Nov 2020
Dense open-set recognition with synthetic outliers generated by Real NVP Matej Grcić Petra Bevandić Sinisa Segvic 24 40 0 22 Nov 2020
Learning in the Wild with Incremental Skeptical Gaussian Processes Andrea Bontempelli Stefano Teso Fausto Giunchiglia Andrea Passerini 6 20 0 02 Nov 2020
StreamSoNG: A Soft Streaming Classification Approach Wenlong Wu James M. Keller Jeff Dale J. Bezdek 9 7 0 01 Oct 2020