Generative OpenMax for Multi-Class Open Set Classification

Cited by (445)

Items 301–400 of 445

1. OWETC: Open world encrypted traffic classification based on semi-supervised class incremental learning
   Meng Zhao, Zhu Di, Zhe Xia · 2023 · 2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom)
2. FGM-SPCL: Open-Set Recognition Network for Medical Images Based on Fine-Grained Data Mixture and Spatial Position Constraint Loss
   Ruru Zhang, E Haihong, Lifei Yuan, Yanhui Wang, Lifei Wang, Meina Song · 2024 · Chinese Journal of Electronics
3. On-the-Fly Category Discovery for LiDAR Semantic Segmentation
   Hyeonseong Kim, Sung-Hoon Yoon, Minseok Kim · 2024 · Lecture notes in computer science
4. Towards Open-Set Egocentric Action Recognition with Uncertainty Estimation
   Yishan Zou, Chris Nugent, Matthew Burns, Xiaoming Xi, Meng Liu · 2024 · Lecture notes in computer science
5. Multi-Granularity Context Perception Network for Open Set Recognition of Camouflaged Objects
   Song Ze, Xudong Kang, Xiaohui Wei, Renwei Dian, Jinyang Liu, Shutao Li A · 2024 · IEEE Transactions on Multimedia
6. Fault diagnosis of high‐voltage circuit breaker based on open‐set theory fusion model
   Jinglong Zhou, Hongshan Zhao, Shiyu Lin · 2025 · IET Electric Power Applications
7. An Open-Set Diagnosis Method for Compound Faults of Rolling Bearing Based on TFMST and Difficulty-Aware Simulator
   Keheng Zhu, Zhibo Sun, Chaoge Wang · 2025 · IEEE Transactions on Instrumentation and Measurement
8. Domain Generalized Open-Set Fault Detection and Diagnosis for Belt Conveyor Systems With Prototype Learning
   Jinyou Kim, Ilkyu Yi, Young-Joo Suh · 2025 · IEEE Access
9. Enhanced Tuplet and Anchor Clustering For Distance-Based Recognition of Unknown Modulation Type Signals
   Lei Guo, Yuanxiang Chen, Tao Liu · 2024 · International Conference on Computer and Communications (ICCC)
10. Geometric Transformation-Based Network Ensemble for Open-Set Recognition
    Pramuditha Perera, Vishal M. Patel · 2021 · IEEE International Conference on Multimedia and Expo (ICME)
11. Self-supervised Continual Learning for Object Recognition in Image Sequences
    Ruiqi Dai, Mathieu Lefort, Frédéric Armetta · 2021 · Communications in computer and information science
12. Open Set Text Classification Using CNNs
    Sridhama Prakhya, Vinodini Venkataram, Jugal Kumar Kalita · 2017 · International conference natural language processing
13. Open-Set Bottle Classifying using a Convolution Neural Network
    Supanat Jintawatsakoon, Werayuth Charoenruengkit · 2019 · International Conference on ICT and Knowledge Engineering
14. Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
    Xinxing He, Yuan Yuan, Zhiyu Jiang · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
15. Deconfounded classification by an intervention approach
    Fenglei Yang, Jingling Han, Baomin Li · 2022 · International Journal of Machine Learning and Cybernetics
16. Extending Partial Domain Adaptation Algorithms to the Open-Set Setting
    George Pikramenos, Evaggelos Spyrou, Stavros J. Perantonis · 2022 · Applied Sciences
17. Adaptive Open Set Recognition with Multi-modal Joint Metric Learning
    Yimin Fu, Zhunga Liu, Yanbo Yang · 2022 · Lecture notes in computer science
18. Deep Open-Set Segmentation in Visual Learning
    Ian M. Nunes, Marcus Poggi, Hugo Oliveira · 2022 · SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI)
19. CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition
    Nikolaos Dionelis, Sotirios A. Tsaftaris, Mehrdad Yaghoobi · 2022 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
20. Coupling Deep Models and Extreme Value Theory for Open Set Fault Diagnosis
    Xiaolei Yu, Zhibin Zhao, Xingwu Zhang · 2020 · International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)
21. Multitask Regularization for Image Aesthetic Evaluation
    Corneliu Florea, Laura Florea · 2021 · International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
22. Teacher-Explorer-Student Learning: A Novel Learning Method for Open Set Recognition
    Jaeyeon Jang, Chang Ouk Kim · 2021 · arXiv (Cornell University)
23. Thinkback: Task-SpecificOut-of-Distribution Detection
    Lixuan Yang, Dario Rossi · 2021 · arXiv (Cornell University)
24. Spatial Location Constraint Prototype Loss for Open Set Recognition
    Ziheng Xia, Ganggang Dong, Penghui Wang · 2022 · SSRN Electronic Journal
25. A Dual-threshold Based Evidential Openmax Approach for Open Set Recognition
    Zhuo Yang, Deqiang Han, Yi Yang · 2024 · International Conference on Information Fusion (FUSION)
26. UAD-DPL: An Unknown Encrypted Attack Detection Method Based on Deep Prototype Learning
    Liangchen Chen, Shu Gao, Bai Liu · 2024 · Lecture notes in computer science
27. Enhancing Few-Shot Chest X-ray Classification through Generative Class Augmentation
    Pei-Chuan Lin, Po‐Chih Kuo, Chia-Jung Liu, Meng‐Rui Lee · 2024 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
28. Individual Identification of Communication Emitters in Open Electromagnetic Environments: A Multi-Feature Attention Method with OpenMax
    Yixuan Ya, Liangtian Wan, Lu Sun, Jianbo Zheng, Xianpeng Wang · 2024 · IEEE International Conference on Smart Internet of Things (SmartIoT)
29. Cosine Distance Loss for Open-Set Image Recognition
    Xiaolin Li, Binbin Chen, Jianxiang Li · 2025 · Electronics
30. OWNC: Open-World Node Classification on Graphs with a Dual-Embedding Interaction Framework
    Yuli Chen, Chun Wang · 2025 · Mathematics
31. Bilevel Direction Preserving for Few-Shot Open-Set Recognition
    Zihui Zhang, Chenghao Xu, Jiexi Yan · 2025 · IEEE Transactions on Multimedia
32. Open-Set SAR Target Recognition Based on Observation-Invariant Contrastive Learning
    Lizhuo Liu, Jiawei Niu, Peiyuan Ma, Yimin Fu · 2025 · IEEE Sensors Journal
33. Beyond Contact: An Open-Set Biometric Identification System Using Radar-Extracted Heart Signals
    Zelin Xing, Mondher Bouazizi, Tomoaki Otsuki Ohtsuki · 2025 · IEEE Journal of Biomedical and Health Informatics
34. Out-of-Distribution Knowledge Inference-Based Approach for SAR Imagery Open-Set Recognition
    Changjie Cao, Ying Li Yang, Zhongli Zhou · 2025 · Remote Sensing
35. Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
    Rohit Mohan, Julia Hindel, Florian Drews · 2025 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
36. Enhancing Rogue-Emitter Rejection in Open-Set Specific Emitter Identification With Out-of-Distribution Signals
    Bowen Zhang, Fuhui Zhou, Rui Ding · 2025 · IEEE Transactions on Consumer Electronics
37. Open Set Industrial Surface Defect Recognition With High Frequency Feature Enhancement and Class Mutual-Information Constraint
    Zhen Yang, Tianyong Zheng, Xuefeng Ni, Zhi Yan, Shangzhi Liu, Yingtian Yu, Hong Chen, Yaonan Wang, Leyuan Fang, Wei Hao · 2026 · IEEE Transactions on Multimedia
38. Reinforcement Learning-Based Critical Scenario Generation for Safety Verification of Autonomous Cyber-Physical Systems
    Hongbin Wang, Siqi Peng, Jiale An · 2025
39. Adversarial Learning Approach for Open Set Domain Adaptation
    Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada · 2020 · Springer eBooks
40. Variational Open Set Recognition (VOSR)
    Luke Buquicchio, Walter Gerych, Abdulaziz Saleh Alajaji · 2021 · IEEE International Conference on Big Data (BigData)
41. Towards Semi-Supervised Causal Open Set Recognition
    Richard Xue, Rui-Wei Zhao, Rui Feng · 2022 · SAE technical papers on CD-ROM/SAE technical paper series
42. Open-Set Domain Adaptation Classification Via Adversarial Learning
    Yunbin Zhao, Songhao Zhu, Zhiwei Liang · 2022 · Chinese Control Conference (CCC)
43. GB-CosFace: Rethinking Softmax-Based Face Recognition from the Perspective of Open Set Classification
    Mingqiang Chen, Lizhe Liu, Xiaohao Chen · 2023 · Lecture notes in computer science
44. Improving the Performance of Open-Set Recognition with Generated Fake Data
    András Pál Halász, Nawar Al-Hemeary, Lóránt Szabolcs Daubner · 2023 · Electronics
45. Deep Open World SAR Target Recognition with Regular Polytope Networks
    Brent Thomson, Matthew D. Scherreik · 2023 · Proceedings of the IEEE National Radar Conference
46. Knowing the Unknown: Open-set Bacteria Classification in Gram Stain Microscopic Images
    Sarah Alhammad, Brian C. Lovell · 2023
47. Contrastive Novelty-Augmented Learning: Anticipating Outliers with Large Language Models
    Albert Xu, Xiang Ren, Robin Jia · 2023 · Annual Meeting of the Association for Computational Linguistics (ACL)
48. Open-set object detection based on annular prototype space optimization
    Xuhao Sun, Yang Shen, Xiushen Wei · 2023 · Journal of Image and Graphics
49. Towards open domain-specific recognition using Quad-Channel Self-Attention Reciprocal Point Learning and Autoencoder
    Gusti Ahmad Fanshuri Alfarisy, Owais Ahmed Malik, Wee-Hong Ong · 2023 · Knowledge-Based Systems
50. Open Set Recognition of Radar Signals Based on Time-Frequency Fusion and OVA Network
    Xinqiao Yang, Dongqing Zhou, Qi Zhang · 2023 · International Conference on Communication, Image and Signal Processing (CCISP)
51. Characterizing open-set ATR methods to detect out of distribution data for a maritime object classifier in space-based electro optical imagery
    John G. Warner, Vishal Nainesh Patel · 2024
52. Deep Learning-Inspired Multiclass and Multi-label Classifications
    Sanjay Chakraborty, Lopamudra Dey · 2024 · Springer tracts in nature-inspired computing
53. Novelty detection for unsupervised continual learning in image sequences
    Ruiqi Dai, Mathieu Lefort, Frédéric Armetta · 2021 · Proceedings - International Conference on Tools with Artificial Intelligence, TAI
54. Attention-Based Convolutional Neural Network for Ingredients Identification
    Shi Chen, Ruixue Li, Chao Wang · 2023 · Entropy
55. Epistemic uncertainty estimation for object detection in open-set conditions
    Dimity Miller · 2021 · Queensland University of Technology
56. Decision Fusion Approach for Detecting Unknown Wafer Bin Map Patterns Based on a Deep Multitask Learning Model
    Jaeyeon Jang, Gyeong Taek Lee · 2022 · SSRN Electronic Journal
57. Learning Real-World Visuo-Motor Policies from Simulation
    Fangyi Zhang · 2018 · Queensland University of Technology
58. Do I Know You? A Two-Stage Framework for Novelty Detection
    Supritam Bhattacharjee, Sivaram Prasad Mudunuri, Soma Biswas · 2019 · Proceedings - International Conference on Image Processing
59. Multi-class Novelty Detection Using Mix-up Technique
    Supritam Bhattacharjee, Devraj Mandal, Soma Biswas · 2019 · arXiv (Cornell University)
60. Deep Learning and Open Set Malware Classification: A Survey
    Jingyun Jia · 2020 · arXiv (Cornell University)
61. Open-set Adversarial Defense
    Rui Shao, Pramuditha Perera, Pong Chi Yuen · 2020 · arXiv (Cornell University)
62. DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
    Jiyang Xie, Zhanyu Ma, Jing‐Hao Xue, Guoqiang Zhang, Jun Guo · 2020 · arXiv (Cornell University)
63. Open-set Recognition based on the Combination of Deep Learning and Ensemble Method for Detecting Unknown Traffic Scenarios
    Lakshman Balasubramanian, Friedrich Kruber, Michael Botsch · 2021 · arXiv (Cornell University)
64. Open Set Domain Recognition via Attention-Based GCN and Semantic Matching Optimization
    Xinxing He, Yuan Yuan, Zhiyu Jiang · 2021 · arXiv (Cornell University)
65. A study on open set recognition methods
    Xin Sun · 2021
66. One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification
    Jedrzej Kozerawski, Matthew Turk · 2021 · arXiv (Cornell University)
67. A novel network training approach for open set image recognition
    Tahmid Hossaina, Shyh Wei Teng, Guojun Lu, Ferdous Ahmed Sohel · 2021 · arXiv (Cornell University)
68. Open-Set Recognition with Dual Probability Learning
    Shanshan Liu, Fenglei Yang · 2021 · Lecture notes in computer science
69. Open set recognition through Monte Carlo dropout-based uncertainty
    Gerald Schaefer, Qinghua Hu, Xiaojie Yin · 2021 · International Journal of Bio-Inspired Computation
70. POC: Periodical Orthogonal Center Loss For Open Set Classification
    Yusheng Pu, Ruonan Liu, Qiang Chen, Dongyue Chen, Wenlong Yu, Di Cao · 2021 · Asian Conference on Artificial Intelligence Technology (ACAIT)
71. A deep learning-based conditional system health index method to reduce the uncertainty of remaining useful life prediction
    Jaeyeon Jang · 2022 · Research Square
72. Fleet learning-based fault detection and diagnosis in the open world
    Xiaomeng Peng · 2022
73. A Joint Learning Model for Open Set Recognition with Post-processing
    Qinglin Li, Guanyu Xing, Yanli Liu · 2023 · Communications in computer and information science
74. Learning Representations for Novelty and Anomaly Detection
    Ranya Almohsen · 2023
75. UAD-DPN: An Unknown Attack Detection Method for Encrypted Traffic Based on Deep Prototype Network
    Liangchen Chen, Shu Gao, Baoxu Liu · 2023 · Research Square
76. GII: A Unified Approach to Representation Learning in Open Set Recognition with Novel Category Discovery
    Jingyun Jia, Philip K. Chan · 2023 · Lecture notes in computer science
77. Open-set Recognition
    Ricardo da Silva Torres, Daniel Memmert · 2023 · Springer eBooks
78. Generative Adversarial Network and Mutual-Point Learning Algorithm for Few-Shot Open-Set Classification of Hyperspectral Images
    Tuo Xu, Bing Han, Jie Li · 2023 · SSRN Electronic Journal
79. Overall Positive Prototype for Few-Shot Open-Set Recognition
    Liang-Yu Sun, Wei-Ta Chu · 2023 · SSRN Electronic Journal
80. CSANet: Cross-Semantic Attention Network for Open-Set Object Recognition
    Yu Li, Gan Sun, Wenqi Liang · 2023 · Youth Academic Annual Conference of Chinese Association of Automation (YAC)
81. Towards Unsupervised Domain-Specific Open-World Recognition
    Gusti Ahmad Fanshuri Alfarisy, Owais Ahmed Malik, Wee-Hong Ong · 2024 · SSRN Electronic Journal
82. Open-Set Recognition
    Ricardo da Silva Torres · 2024 · Springer eBooks
83. Background
    Xu-Cheng Yin, Chun Hung Yang, Chang Liu · 2024 · SpringerBriefs in computer science
84. Application of an Open-Set Recognition Method for Detecting Untrained Classes in a Nuclear Power Plant Accident Diagnosis Model
    Seung Geun Kim, Young Ho Chae, Seo Ryong Koo · 2024 · SSRN Electronic Journal
85. Towards Unsupervised Domain-Specific Open-World Recognition
    Gusti Ahmad Fanshuri Alfarisy, Owais Ahmed Malik, Wee-Hong Ong · 2024 · SSRN Electronic Journal
86. A Closer Look at Classification Evaluation Metrics and a Critical Reflection of Common Evaluation Practice
    Juri Opitz · 2024 · Zurich Open Repository and Archive (University of Zurich)
87. Synergetic proto-pull and reciprocal points for open set recognition
    Xin Deng, Luyao Yang, Ao Zhang, Jingwen Wang, Hexu Wang, Tianzhang Xing, Pengfei Xu · 2024 · Machine Vision and Applications
88. Dual Prototype Learning for Robust Open Set Recognition
    Yini Wang, Xiaodong Yue, Zhikang Xu, Zihao Li · 2024 · International Joint Conference on Neural Networks (IJCNN)
89. Data Generation and Prototype Learning Based Open-Set Fault Diagnosis for Rotating Machinery
    Yunjia Dong, Yuqing Li, Minqiang Xu · 2024 · Prognostics and System Health Management Conference
90. DIFAIR: Towards Learning Differentiated Image Representations
    Quentin Christoffel, Aline Deruyver, Ali Ayadi · 2024 · Procedia Computer Science
91. Open-set semantic segmentation for remote sensing images
    Ian Monteiro Nunes, Hugo Oliveira, Marcus Poggi · 2024
92. Exploiting Multi-Domain Features for Detection of Unclassified Electromagnetic Signals
    Xue Wei, Dola Saha, Anna Quach · 2024 · IEEE Military Communications Conference (MILCOM)
93. TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
    Jiankang Chen, Tong Zhang, Wei‐Shi Zheng, Ruixuan Wang · 2024 · Qeios
94. Taking class imbalance into account in open set recognition evaluation
    Joanna Komorniczak, Paweł Ksieniewicz · 2025 · Neural Computing and Applications
95. Generative Representation and Discriminative Classification for Few-shot Open-set Object Detection
    Peixue Shen, Ruoqi Li, Yan Luo · 2024 · IEEE International Conference on Visual Communications and Image Processing (VCIP)
96. Calibration Misalignment as a Post-Hoc Approach for Out-of-Distribution Detection in Deep Neural Networks
    Felip Guimerà Cuevas, Helmut Schmid · 2025 · Lecture notes in computer science
97. Verification on out-of-distribution detectors under natural perturbations
    Chi Zhang, Zhe Chen, Peipei Xu · 2025 · Machine Learning
98. Towards Multi-Class Open-Set Recognition by Use of Lower Dimensional Latent Space Embeddings
    John G. Warner, Vishal Nainesh Patel · 2024 · International Conference on Machine Learning and Applications
99. Frequency-Space Margin Perception for Open Set Knowledge Distillation
    Lijun Liu, Lihua Jing, Rui Wang, Yuan Wang, Zhishen Wang · 2025 · IEEE International Conference on Acoustics Speech and Signal Processing
100. A Machine Learning Approach to Helicopter Open set Classification based on Microdoppler Signatures
     Pierrick Richard, Jean‐François Degurse, Guillaume Point · 2024 · International Radar Conference (RADAR)