MOOD: Multi-level Out-of-distribution Detection

30 April 2021

Papers citing "MOOD: Multi-level Out-of-distribution Detection"

30 / 30 papers shown

Title
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 131 0 0 09 Feb 2025
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 51 0 0 23 Jun 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 43 0 0 06 Mar 2024
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging Jennie Karlsson Marisa Wodrich Niels Christian Overgaard Freja Sahlin Kristina Laang Anders Heyden Ida Arvidsson 34 0 0 29 Feb 2024
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection Zhuohao Sun Yiqiao Qiu Zhijun Tan Weishi Zheng Ruixuan Wang OODD 18 6 0 27 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 34 30 0 21 Oct 2023
How Good Are LLMs at Out-of-Distribution Detection? Bo Liu Li-Ming Zhan Zexin Lu Yu Feng Lei Xue Xiao-Ming Wu OODD 40 8 0 20 Aug 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 45 12 0 06 Jun 2023
Semantic Anomaly Detection with Large Language Models Amine Elhafsi Rohan Sinha Christopher Agia Edward Schmerling I. Nesnas Marco Pavone 37 65 0 18 May 2023
LINe: Out-of-Distribution Detection by Leveraging Important Neurons Yong Hyun Ahn Gyeong-Moon Park Seong Tae Kim OODD 119 31 0 24 Mar 2023
AUTO: Adaptive Outlier Optimization for Test-Time OOD Detection Puning Yang Jian Liang Jie Cao Ran He 41 12 0 22 Mar 2023
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness Javier Poyatos Daniel Molina Aitor Martínez Javier Del Ser Francisco Herrera 35 10 0 20 Feb 2023
Adaptive Deep Neural Network Inference Optimization with EENet Fatih Ilhan Ka-Ho Chow Sihao Hu Tiansheng Huang Selim Tekin ... Myungjin Lee Ramana Rao Kompella Hugo Latapie Gan Liu Ling Liu 38 11 0 15 Jan 2023
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 25 31 0 05 Dec 2022
Understanding the Robustness of Multi-Exit Models under Common Corruptions Akshay Mehra Skyler Seto Navdeep Jaitly B. Theobald AAML 16 3 0 03 Dec 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 32 125 0 26 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier Sumedha Singla Nihal Murali Forough Arabshahi Sofia Triantafyllou Kayhan Batmanghelich CML 59 4 0 21 Oct 2022
Towards In-distribution Compatibility in Out-of-distribution Detection Boxi Wu Jie Jiang Haidong Ren Zifan Du Wenxiao Wang Zhifeng Li Deng Cai Xiaofei He Binbin Lin Wei Liu OODD 24 1 0 29 Aug 2022
OpenCon: Open-world Contrastive Learning Yiyou Sun Yixuan Li VLM SSL DRL 55 39 0 04 Aug 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 24 27 0 31 Jul 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 29 113 0 28 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 488 0 13 Apr 2022
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection Choubo Ding Guansong Pang Chunhua Shen OOD 24 112 0 28 Mar 2022
Label-Free Model Evaluation with Semi-Structured Dataset Representations Xiaoxiao Sun Yunzhong Hou Hongdong Li Liang Zheng 13 11 0 01 Dec 2021
DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun Yixuan Li OODD 38 151 0 18 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 188 879 0 21 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space Rui Huang Yixuan Li OODD 39 235 0 05 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016