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Conditional Gaussian Distribution Learning for Open Set Recognition
v1v2v3v4 (latest)

Conditional Gaussian Distribution Learning for Open Set Recognition

Computer Vision and Pattern Recognition (CVPR), 2020
19 March 2020
Xin Sun
Zhen Yang
Chi Zhang
Guohao Peng
K. Ling
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "Conditional Gaussian Distribution Learning for Open Set Recognition"

50 / 108 papers shown
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
Evolving from Unknown to Known: Retentive Angular Representation Learning for Incremental Open Set Recognition
Runqing Yang
Yimin Fu
Changyuan Wu
Zhunga Liu
333
0
0
08 Sep 2025
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition
Ryan Rabinowitz
Steve Cruz
Walter J. Scheirer
Terrance Boult
BDL
208
1
0
01 Aug 2025
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection
Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution DetectionInternational Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2025
Conrad Orglmeister
Erik Bochinski
Volker Eiselein
Elvira Fleig
205
0
0
17 Jun 2025
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning
Rohit Mohan
Julia Hindel
F. Drews
Claudius Gläser
Daniele Cattaneo
Abhinav Valada
UQCVEDL
537
3
0
16 Jun 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background PriorsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yu Wang
Junxian Mu
Hongzhi Huang
Qilong Wang
Q. Hu
Q. Hu
599
7
0
22 Mar 2025
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models
Nadarasar Bahavan
Sachith Seneviratne
Saman K. Halgamuge
BDL
510
2
0
11 Mar 2025
Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds
Open-Set Gait Recognition from Sparse mmWave Radar Point CloudsIEEE Sensors Journal (IEEE Sens. J.), 2025
Riccardo Mazzieri
Jacopo Pegoraro
Michele Rossi
CVBM
469
1
0
10 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based ApproachComputer Vision and Pattern Recognition (CVPR), 2025
Chen-Chen Zong
Sheng-Jun Huang
EDL
551
9
0
27 Feb 2025
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
M-Tuning: Prompt Tuning with Mitigated Label Bias in Open-Set Scenarios
Ning Liao
Xiaopeng Zhang
Minglu Cao
Junchi Yan
VPVLMVLM
730
2
0
31 Dec 2024
UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set
  Object Detection Framework
UADet: A Remarkably Simple Yet Effective Uncertainty-Aware Open-Set Object Detection Framework
Silin Cheng
Yuanpei Liu
Kai Han
EDL
407
0
0
12 Dec 2024
Deep Active Learning in the Open World
Deep Active Learning in the Open World
Tian Xie
Jifan Zhang
Haoyue Bai
R. Nowak
VLM
930
8
0
10 Nov 2024
OwMatch: Conditional Self-Labeling with Consistency for Open-World
  Semi-Supervised Learning
OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2024
Shengjie Niu
Lifan Lin
Jian Huang
Chao Wang
455
6
0
04 Nov 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD
  Generalization and Open-Set OOD Detection
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection
Lin Zhu
Yifeng Yang
Qinying Gu
Xinbing Wang
Cheng Zhou
Nanyang Ye
VLM
324
10
0
26 May 2024
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection
Yifeng Peng
Xinyi Li
Zhiding Liang
Ying Wang
356
6
0
25 May 2024
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He
Lijian Li
382
0
0
23 May 2024
BOSC: A Backdoor-based Framework for Open Set Synthetic Image Attribution
BOSC: A Backdoor-based Framework for Open Set Synthetic Image AttributionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024
Jun Wang
B. Tondi
Mauro Barni
DiffM
589
5
0
19 May 2024
Tackling Distribution Shifts in Task-Oriented Communication with
  Information Bottleneck
Tackling Distribution Shifts in Task-Oriented Communication with Information BottleneckIEEE Journal on Selected Areas in Communications (JSAC), 2024
Hongru Li
Jiawei Shao
Hengtao He
Shenghui Song
Jun Zhang
Khaled B. Letaief
OOD
279
11
0
15 May 2024
Adversarial Threats to Automatic Modulation Open Set Recognition in
  Wireless Networks
Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless NetworksGlobal Communications Conference (GLOBECOM), 2024
Yandie Yang
Sicheng Zhang
Kuixian Li
Qiao Tian
Yun Lin
AAML
393
5
0
08 May 2024
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
Prompt-Driven Feature Diffusion for Open-World Semi-Supervised Learning
Marzi Heidari
Hanping Zhang
Yuhong Guo
DiffM
239
0
0
17 Apr 2024
Beyond the Known: Novel Class Discovery for Open-world Graph Learning
Beyond the Known: Novel Class Discovery for Open-world Graph Learning
Yucheng Jin
Yun Xiong
Juncheng Fang
Xixi Wu
Dongxiao He
Xing Jia
Bingchen Zhao
Philip Yu
OffRL
279
3
0
29 Mar 2024
Open-World Semi-Supervised Learning for Node Classification
Open-World Semi-Supervised Learning for Node ClassificationIEEE International Conference on Data Engineering (ICDE), 2024
Yanling Wang
Jing Zhang
Lingxi Zhang
Lixin Liu
Yuxiao Dong
Cuiping Li
Hong Chen
Hongzhi Yin
BDL
244
6
0
18 Mar 2024
VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational
  Autoencoder
VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational Autoencoder
Zhiyin Qiu
Ding Zhou
Yahui Zhai
Bo Liu
Lei He
Jiuxin Cao
DRL
216
6
0
07 Mar 2024
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework
WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework
Xiang Zhang
Jingyang Huang
Huan Yan
Peng Zhao
Guohang Zhuang
Zhi Liu
Bin Liu
EDL
439
34
0
01 Feb 2024
Robust Semi-Supervised Learning for Self-learning Open-World Classes
Robust Semi-Supervised Learning for Self-learning Open-World ClassesIndustrial Conference on Data Mining (IDM), 2023
Wenjuan Xi
Xin Song
Weili Guo
Yang Yang
322
17
0
15 Jan 2024
Exploring Diverse Representations for Open Set Recognition
Exploring Diverse Representations for Open Set RecognitionAAAI Conference on Artificial Intelligence (AAAI), 2024
Yu Wang
Junxian Mu
Q. Hu
Qinghua Hu
317
25
0
12 Jan 2024
A Survey on Open-Set Image Recognition
A Survey on Open-Set Image Recognition
Qiulei Dong
Qiulei Dong
BDLObjD
274
14
0
25 Dec 2023
Entropic Open-set Active Learning
Entropic Open-set Active Learning
Bardia Safaei
VS Vibashan
C. D. Melo
Vishal M. Patel
UQCVEDL
343
36
0
21 Dec 2023
Navigating Open Set Scenarios for Skeleton-based Action Recognition
Navigating Open Set Scenarios for Skeleton-based Action Recognition
Kunyu Peng
Cheng Yin
Junwei Zheng
Ruiping Liu
David Schneider
Kailai Li
Kailun Yang
M. Sarfraz
Rainer Stiefelhagen
Alina Roitberg
300
31
0
11 Dec 2023
Unified Classification and Rejection: A One-versus-All Framework
Unified Classification and Rejection: A One-versus-All FrameworkMachine Intelligence Research (MIR), 2023
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
396
16
0
22 Nov 2023
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised
  Learning
A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised LearningNeural Information Processing Systems (NeurIPS), 2023
Yiyou Sun
Zhenmei Shi
Shouqing Yang
OffRL
270
33
0
06 Nov 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery
  Detection
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection
Weihua Liu
Lin Li
Chaochao Lin
Said Boumaraf
CVBM
350
0
0
08 Oct 2023
Recursive Counterfactual Deconfounding for Object Recognition
Recursive Counterfactual Deconfounding for Object Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
BDLCML
273
0
0
25 Sep 2023
LMC: Large Model Collaboration with Cross-assessment for Training-Free
  Open-Set Object Recognition
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object RecognitionNeural Information Processing Systems (NeurIPS), 2023
Haoxuan Qu
Xiaofei Hui
Yujun Cai
Jun Liu
689
20
0
22 Sep 2023
Interpretability is in the Mind of the Beholder: A Causal Framework for
  Human-interpretable Representation Learning
Interpretability is in the Mind of the Beholder: A Causal Framework for Human-interpretable Representation LearningEntropy (Entropy), 2023
Emanuele Marconato
Baptiste Caramiaux
Stefano Teso
376
26
0
14 Sep 2023
Flexible Visual Recognition by Evidential Modeling of Confusion and
  Ignorance
Flexible Visual Recognition by Evidential Modeling of Confusion and IgnoranceIEEE International Conference on Computer Vision (ICCV), 2023
Lei Fan
Bo Liu
Haoxiang Li
Ying Wu
Gang Hua
271
7
0
14 Sep 2023
SOAR: Scene-debiasing Open-set Action Recognition
SOAR: Scene-debiasing Open-set Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2023
Yuanhao Zhai
Ziyi Liu
Zhenyu Wu
Yi Wu
Chunluan Zhou
David Doermann
Junsong Yuan
Gang Hua
351
15
0
03 Sep 2023
Prototype Fission: Closing Set for Robust Open-set Semi-supervised
  Learning
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning
Xuwei Tan
Yi-Jie Huang
Yaqian Li
412
3
0
29 Aug 2023
Reinforcement Learning Based Multi-modal Feature Fusion Network for
  Novel Class Discovery
Reinforcement Learning Based Multi-modal Feature Fusion Network for Novel Class Discovery
Qiang Li
Qiuyang Ma
Weizhi Nie
Anan Liu
OffRL
288
2
0
26 Aug 2023
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Complementary Frequency-Varying Awareness Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
353
1
0
14 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in
  Open Worlds
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open WorldsPattern Recognition (Pattern Recogn.), 2023
Tianqi Li
Guansong Pang
Xiao Bai
Jingyi Zheng
Lei Zhou
Xin Ning
VLM
329
38
0
07 Jul 2023
Open-Set RF Fingerprinting via Improved Prototype Learning
Open-Set RF Fingerprinting via Improved Prototype Learning
Weidong Wang
H. Liao
Lu Gan
180
1
0
24 Jun 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and
  Challenges in Plant Disease Recognition Using Deep Learning
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep LearningFrontiers in Plant Science (Front. Plant Sci.), 2023
Mingle Xu
H. Kim
Jucheng Yang
A. Fuentes
Yao Meng
Sook Yoon
Taehyun Kim
D. Park
285
42
0
19 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation
  in NLP with an Instantiation in Authorship Attribution
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship AttributionAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Neeraj Varshney
Himanshu Gupta
Eric Robertson
Yinan Han
Chitta Baral
218
1
0
08 May 2023
Progressive Open Space Expansion for Open-Set Model Attribution
Progressive Open Space Expansion for Open-Set Model AttributionComputer Vision and Pattern Recognition (CVPR), 2023
Tianyun Yang
Danding Wang
Fan Tang
Xinying Zhao
Juan Cao
Sheng Tang
406
32
0
13 Mar 2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
DejaVu: Conditional Regenerative Learning to Enhance Dense PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Shubhankar Borse
Debasmit Das
Hyojin Park
H. Cai
Risheek Garrepalli
Fatih Porikli
378
10
0
02 Mar 2023
Accurate Open-set Recognition for Memory Workload
Accurate Open-set Recognition for Memory WorkloadACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Jun-Gi Jang
Sooyeon Shim
Vladimir Egay
Jeeyong Lee
J. Park
Suhyun Chae
U. Kang
214
4
0
17 Dec 2022
VLG: General Video Recognition with Web Textual Knowledge
VLG: General Video Recognition with Web Textual KnowledgeInternational Journal of Computer Vision (IJCV), 2022
Jintao Lin
Zhaoyang Liu
Wenhai Wang
Wayne Wu
Limin Wang
380
4
0
03 Dec 2022
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image
  Recognition
Spatial-Temporal Attention Network for Open-Set Fine-Grained Image Recognition
Qiulei Dong
Hong Wang
Qiulei Dong
3DPCViT
215
1
0
25 Nov 2022
Open-Set Object Detection Using Classification-free Object Proposal and
  Instance-level Contrastive Learning
Open-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive LearningIEEE Robotics and Automation Letters (RA-L), 2022
Zhongxiang Zhou
Yifei Yang
Yue Wang
R. Xiong
ObjD
302
21
0
21 Nov 2022
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration
Zongyao Lyu
Nolan B. Gutierrez
William J. Beksi
BDL
161
5
0
20 Nov 2022
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