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Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
7 June 2021
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
Yiran Chen
Xue Yang
OODD
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Papers citing
"Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments"
25 / 25 papers shown
BootOOD: Self-Supervised Out-of-Distribution Detection via Synthetic Sample Exposure under Neural Collapse
Yuanchao Wang
Tian Qin
Eduardo Valle
Bruno Abrahao
OODD
302
0
0
17 Nov 2025
Logit Mixture Outlier Exposure for Fine-grained Out-of-Distribution Detection
Akito Shinohara
Kohei Fukuda
Hiroaki Aizawa
OODD
230
0
0
15 Sep 2025
What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
Qiyue Sun
Qiming Huang
Yang Yang
Hongjun Wang
Jianbo Jiao
228
0
0
29 Aug 2025
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection
Marc Hölle
Walter Kellermann
Vasileios Belagiannis
OODD
UQCV
203
0
0
01 Aug 2025
Handling Out-of-Distribution Data: A Survey
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025
L. Tamang
Mohamed Reda Bouadjenek
Richard Dazeley
S. Aryal
OOD
OODD
282
6
0
25 Jul 2025
Enhancing Abnormality Identification: Robust Out-of-Distribution Strategies for Deepfake Detection
Luca Maiano
Fabrizio Casadei
Irene Amerini
198
0
0
03 Jun 2025
Graph Synthetic Out-of-Distribution Exposure with Large Language Models
Haoyan Xu
Zhengtao Yao
Ziyi Wang
Zhan Cheng
Xiyang Hu
Mengyuan Li
Yue Zhao
OODD
530
3
0
29 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
458
1
0
04 Apr 2025
AdaSCALE: Adaptive Scaling for OOD Detection
Sudarshan Regmi
OODD
536
4
0
11 Mar 2025
Out-of-Distribution Detection using Synthetic Data Generation
Momin Abbas
Muneeza Azmat
R. Horesh
Mikhail Yurochkin
OODD
575
2
0
05 Feb 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach
International Conference on Learning Representations (ICLR), 2025
Nicolas Atienza
Christophe Labreuche
Johanne Cohen
Michele Sebag
OODD
AAML
890
0
0
20 Jan 2025
ARES: Auxiliary Range Expansion for Outlier Synthesis
Eui-Soo Jung
Hae-Hun Seo
Hyun-Woo Jung
Je-Geon Oh
Yoon-Yeong Kim
OODD
337
0
0
11 Jan 2025
Image-based Outlier Synthesis With Training Data
Sudarshan Regmi
OODD
494
2
0
16 Nov 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
Shuo Lu
YingSheng Wang
Lijun Sheng
Lingxiao He
A. Zheng
Jian Liang
OODD
562
7
0
18 Sep 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2024
Suhee Yoon
Sanghyu Yoon
Ye Seul Sim
Sungik Choi
Kyungeun Lee
Hye-Seung Cho
Hankook Lee
Woohyung Lim
275
1
0
27 Aug 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODD
VLM
264
6
0
03 Jun 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2024
Claus Hofmann
Simon Schmid
Bernhard Lehner
Daniel Klotz
Sepp Hochreiter
OODD
410
12
0
14 May 2024
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Neural Information Processing Systems (NeurIPS), 2023
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
280
40
0
21 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
UQCV
326
0
0
19 Oct 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction
International Conference on Learning Representations (ICLR), 2023
Haowei Lin
Yijia Shao
W. Qian
Ningxin Pan
Yiduo Guo
Bing-Quan Liu
CLL
541
19
0
26 Sep 2023
Out-of-Distribution Detection for Monocular Depth Estimation
IEEE International Conference on Computer Vision (ICCV), 2023
Julia Hornauer
Adrian Holzbock
Vasileios Belagiannis
UQCV
197
6
0
11 Aug 2023
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection
Jingyang Zhang
Nathan Inkawhich
Randolph Linderman
R. Luley
Yiran Chen
Xue Yang
OODD
199
1
0
25 Mar 2023
Out-of-distribution Detection with Implicit Outlier Transformation
International Conference on Learning Representations (ICLR), 2023
Qizhou Wang
Junjie Ye
Yifan Zhang
Quanyu Dai
Marcus Kalander
Tongliang Liu
Jianye Hao
Bo Han
OODD
365
56
0
09 Mar 2023
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification
Randolph Linderman
Jingyang Zhang
Nathan Inkawhich
Xue Yang
Yiran Chen
OODD
304
12
0
09 Sep 2022
Generalized Out-of-Distribution Detection: A Survey
International Journal of Computer Vision (IJCV), 2021
Jingkang Yang
Kaiyang Zhou
Shouqing Yang
Ziwei Liu
772
1,223
0
21 Oct 2021
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