Conditional Gaussian Distribution Learning for Open Set Recognition

19 March 2020

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

25 / 25 papers shown

Title
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 57 0 0 22 Mar 2025
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 45 0 0 11 Mar 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
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
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 137 1 0 10 Nov 2024
A Survey on Open-Set Image Recognition Jiaying Sun Qiulei Dong BDL ObjD 30 3 0 25 Dec 2023
Cross-domain Robust Deepfake Bias Expansion Network for Face Forgery Detection Weihua Liu Lin Li Chaochao Lin Said Boumaraf CVBM 28 0 0 08 Oct 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 37 27 0 07 Jul 2023
Progressive Open Space Expansion for Open-Set Model Attribution Tianyun Yang Danding Wang Fan Tang Xinying Zhao Juan Cao Sheng Tang 29 17 0 13 Mar 2023
Deep Open-Set Recognition for Silicon Wafer Production Monitoring Luca Frittoli Diego Carrera B. Rossi P. Fragneto Giacomo Boracchi BDL 16 19 0 30 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 42 39 0 04 Aug 2022
Rectifying Open-set Object Detection: A Taxonomy, Practical Applications, and Proper Evaluation Yusuke Hosoya Masanori Suganuma Takayuki Okatani ObjD 22 2 0 20 Jul 2022
Towards Realistic Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan M. Shah 47 44 0 05 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan F. Khan M. Shah 27 49 0 05 Jul 2022
PMAL: Open Set Recognition via Robust Prototype Mining Jing Lu Yunxu Xu Hao Li Zhanzhan Cheng Yi Niu 21 53 0 16 Mar 2022
OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao Qi Yu Yu Kong EDL 30 26 0 10 Mar 2022
Generalized Category Discovery S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman 19 188 0 07 Jan 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
Spatial Location Constraint Prototype Loss for Open Set Recognition Ziheng Xia Ganggang Dong Penghui Wang Hongwei Liu UQCV BDL 19 18 0 21 Oct 2021
One-Class Meta-Learning: Towards Generalizable Few-Shot Open-Set Classification Jedrzej Kozerawski M. Turk VLM MQ 16 5 0 14 Sep 2021
M2IOSR: Maximal Mutual Information Open Set Recognition Xin Sun Henghui Ding Chi Zhang Guosheng Lin K. Ling 21 17 0 05 Aug 2021
Learning Bounds for Open-Set Learning Zhen Fang Jie Lu Anjin Liu Feng Liu Guangquan Zhang 18 60 0 30 Jun 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition Jaeyeon Jang Chang Ouk Kim 27 25 0 18 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition Shiyuan Huang Jiawei Ma G. Han Shih-Fu Chang BDL 19 19 0 24 Dec 2020