The Devil is in the Wrongly-classified Samples: Towards Unified Open-set
Recognition

The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition

8 February 2023

Jun Cen

Shaojie Shen

Papers citing "The Devil is in the Wrongly-classified Samples: Towards Unified Open-set Recognition"

18 / 18 papers shown

Title
TrustLoRA: Low-Rank Adaptation for Failure Detection under Out-of-distribution Data Fei Zhu Zhaoxiang Zhang OODD UQCV 55 0 0 20 Apr 2025
BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors Yu Wang Junxian Mu Hongzhi Huang Qilong Wang Pengfei Zhu Q. Hu 52 0 0 22 Mar 2025
Overcoming Common Flaws in the Evaluation of Selective Classification Systems Jeremias Traub Till J. Bungert Carsten T. Lüth Michael Baumgartner Klaus H. Maier-Hein Lena Maier-Hein Paul F. Jaeger 32 3 0 01 Jul 2024
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition Yunbing Jia Xiaoyu Kong Fan Tang Yixing Gao Weiming Dong Yi Yang 46 2 0 28 Apr 2024
SCOD: From Heuristics to Theory Vojtech Franc Jakub Paplhám D. Prusa 21 2 0 25 Mar 2024
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding Lingdong Kong Xiang Xu Jun Cen Wenwei Zhang Liang Pan Kai-xiang Chen Ziwei Liu 42 5 0 25 Mar 2024
LMC: Large Model Collaboration with Cross-assessment for Training-Free Open-Set Object Recognition Haoxuan Qu Xiaofei Hui Yujun Cai Jun Liu 31 10 0 22 Sep 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 16 2 0 19 Sep 2023
Free Lunch for Gait Recognition: A Novel Relation Descriptor Jilong Wang Saihui Hou Yan Huang Chunshui Cao Xu Liu Yongzhen Huang Tianzhu Zhang Liang Wang CVBM 22 1 0 22 Aug 2023
A Data-Driven Measure of Relative Uncertainty for Misclassification Detection Eduardo Dadalto Camara Gomes Marco Romanelli Georg Pichler Pablo Piantanida UQCV 14 5 0 02 Jun 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 19 38 0 03 Apr 2023
OpenMix: Exploring Outlier Samples for Misclassification Detection Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 20 32 0 30 Mar 2023
Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models Guoxuan Xia C. Bouganis UQCV 50 12 0 14 Mar 2023
Plugin estimators for selective classification with out-of-distribution detection Harikrishna Narasimhan A. Menon Wittawat Jitkrittum Surinder Kumar OODD 20 4 0 29 Jan 2023
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 174 220 0 02 Feb 2022
Anomaly Detection via Reverse Distillation from One-Class Embedding Hanqiu Deng Xingyu Li UQCV 101 440 0 26 Jan 2022
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 158 401 0 12 Oct 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,042 0 06 Jun 2015