Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection
Capability

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

6 June 2023

Jiangchao Yao

Bo Han

Papers citing "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

19 / 19 papers shown

Title
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 31 0 0 05 Nov 2024
Typicalness-Aware Learning for Failure Detection Yijun Liu Jiequan Cui Zhuotao Tian Senqiao Yang Qingdong He Xiaoling Wang Jingyong Su AAML 23 0 0 04 Nov 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 19 0 0 24 Oct 2024
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection Chentao Cao Zhun Zhong Zhanke Zhou Yang Liu Tongliang Liu Bo Han OODD 19 10 0 02 Jun 2024
Investigating Calibration and Corruption Robustness of Post-hoc Pruned Perception CNNs: An Image Classification Benchmark Study Pallavi Mitra Gesina Schwalbe Nadja Klein AAML 19 1 0 31 May 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du Yiyou Sun Yixuan Li 20 6 0 28 May 2024
How Does Unlabeled Data Provably Help Out-of-Distribution Detection? Xuefeng Du Zhen Fang Ilias Diakonikolas Yixuan Li OODD 31 26 0 05 Feb 2024
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 25 31 0 03 Nov 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 19 30 0 21 Oct 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 13 52 0 23 Sep 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 142 45 0 09 Mar 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 158 148 0 20 Sep 2022
Mitigating Neural Network Overconfidence with Logit Normalization Hongxin Wei Renchunzi Xie Hao-Ran Cheng Lei Feng Bo An Yixuan Li OODD 163 266 0 19 May 2022
VOS: Learning What You Don't Know by Virtual Outlier Synthesis Xuefeng Du Zhaoning Wang Mu Cai Yixuan Li OODD 174 303 0 02 Feb 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 870 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 167 404 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 173 326 0 01 Oct 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015