Hybrid Models for Open Set Recognition

27 March 2020

Papers citing "Hybrid Models for Open Set Recognition"

31 / 31 papers shown

Title
Database-Agnostic Gait Enrollment using SetTransformers Nicoleta Basoc Adrian Cosma Andy Catruna Emilian Radoi SLR 31 0 0 05 May 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 90 0 0 27 Feb 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks Philip Enevoldsen Christian Gundersen Nico Lang Serge J. Belongie Christian Igel 59 1 0 03 Jan 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios Ning Liao Xiaopeng Zhang Minglu Cao Junchi Yan VPVLM VLM 63 0 0 31 Dec 2024
Dynamic Against Dynamic: An Open-set Self-learning Framework Haifeng Yang Chuanxing Geng P. Yuen Songcan Chen 36 0 0 27 Apr 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 32 3 0 25 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential areas Marcos Barcina-Blanco J. Lobo Pablo Garcia-Bringas Javier Del Ser VLM 31 2 0 14 Dec 2023
Multi-label Open-set Audio Classification Sripathi Sridhar Mark Cartwright VLM 30 3 0 20 Oct 2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations S. D. Almeida Carsten T. Lüth T. Norajitra Tassilo Wald Marco Nolden Paul F. Jaeger C. Heussel J. Biederer O. Weinheimer Klaus Maier-Hein 21 7 0 14 Jul 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 31 17 0 13 Mar 2023
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset) Haoran Wang Yan Zhu W. Qin Yizhe Zhang Pinghong Zhou Quanlin Li Shuo Wang Zhijian Song 27 2 0 23 Dec 2022
A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification Paul F. Jaeger Carsten T. Lüth Lukas Klein Till J. Bungert UQCV 26 35 0 28 Nov 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 29 4 0 09 Sep 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 28 7 0 23 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 27 113 0 28 Jun 2022
Interpolating Compressed Parameter Subspaces Siddhartha Datta N. Shadbolt 32 5 0 19 May 2022
Evaluating Uncertainty Calibration for Open-Set Recognition Zongyao Lyu Nolan B. Gutierrez William J. Beksi UQCV 27 1 0 15 May 2022
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Yuntao Bai Andy Jones Kamal Ndousse Amanda Askell Anna Chen ... Jack Clark Sam McCandlish C. Olah Benjamin Mann Jared Kaplan 72 2,308 0 12 Apr 2022
PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu Yunxu Xu Hao Li Zhanzhan Cheng Yi Niu 23 53 0 16 Mar 2022
Addressing Randomness in Evaluation Protocols for Out-of-Distribution Detection Konstantin Kirchheim Tim Gonschorek F. Ortmeier OODD 28 2 0 01 Mar 2022
Language-driven Semantic Segmentation Boyi Li Kilian Q. Weinberger Serge J. Belongie V. Koltun René Ranftl VLM 43 600 0 10 Jan 2022
Generalized Category Discovery S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman 21 188 0 07 Jan 2022
Understanding Out-of-distribution: A Perspective of Data Dynamics Dyah Adila Dongyeop Kang 38 12 0 29 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 25 29 0 26 Oct 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 21 17 0 05 Aug 2021
Task-agnostic Continual Learning with Hybrid Probabilistic Models Polina Kirichenko Mehrdad Farajtabar Dushyant Rao Balaji Lakshminarayanan Nir Levine Ang Li Huiyi Hu A. Wilson Razvan Pascanu VLM BDL CLL 14 19 0 24 Jun 2021
A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection Jie Jessie Ren Stanislav Fort J. Liu Abhijit Guha Roy Shreyas Padhy Balaji Lakshminarayanan UQCV 33 216 0 16 Jun 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 27 25 0 18 Mar 2021
A statistical framework for efficient out of distribution detection in deep neural networks Matan Haroush Tzviel Frostig R. Heller Daniel Soudry OODD 25 37 0 25 Feb 2021
Contrastive Training for Improved Out-of-Distribution Detection Jim Winkens Rudy Bunel Abhijit Guha Roy Robert Stanforth Vivek Natarajan ... Alan Karthikesalingam Simon A. A. Kohl taylan. cemgil S. M. Ali Eslami Olaf Ronneberger OODD 11 234 0 10 Jul 2020