Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning

13 October 2022

Papers citing "Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning"

9 / 9 papers shown

Title
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach Chen-Chen Zong Sheng-Jun Huang EDL 92 0 0 27 Feb 2025
LEGO-Learn: Label-Efficient Graph Open-Set Learning Haoyan Xu Kay Liu Zhengtao Yao Philip S. Yu Mengyuan Li Yue Zhao Yue Zhao OODD 62 5 0 21 Oct 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation Ye-Wen Wang Chen-Chen Zong Ming-Kun Xie Sheng-Jun Huang 23 0 0 26 Sep 2024
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model Jaehyuk Heo Pilsung Kang VLM 28 1 0 09 Aug 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation Ruiyu Mao Ouyang Xu Yunhui Guo 37 3 0 10 Jan 2024
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning Vladan Stojnić Zakaria Laskar Giorgos Tolias 31 0 0 07 Jul 2023
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 877 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 405 0 12 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015