Do We Really Need to Learn Representations from In-domain Data for
Outlier Detection?

Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?

19 May 2021

Papers citing "Do We Really Need to Learn Representations from In-domain Data for Outlier Detection?"

18 / 18 papers shown

Title
DOSE3 : Diffusion-based Out-of-distribution detection on SE(3) trajectories Hongzhe Cheng Tianyou Zheng Tianyi Zhang Matthew Johnson-Roberson Weiming Zhi DiffM 55 0 0 23 Feb 2025
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 51 1 0 20 May 2024
Zero-shot Object-Level OOD Detection with Context-Aware Inpainting Quang-Huy Nguyen Jin Peng Zhou Zhenzhen Liu Khanh-Huyen Bui Kilian Q. Weinberger Dung D. Le 23 1 0 05 Feb 2024
Unsupervised Out-of-Distribution Detection with Diffusion Inpainting Zhenzhen Liu Jinjie Zhou Yufan Wang Kilian Q. Weinberger DiffM 21 37 0 20 Feb 2023
Normalizing Flows for Human Pose Anomaly Detection Or Hirschorn S. Avidan 3DH 16 46 0 20 Nov 2022
Anomaly Detection via Multi-Scale Contrasted Memory Loic Jezequel Ngoc-Son Vu Jean Beaudet A. Histace 27 0 0 16 Nov 2022
OOD-DiskANN: Efficient and Scalable Graph ANNS for Out-of-Distribution Queries Shikhar Jaiswal Ravishankar Krishnaswamy Ankit Garg H. Simhadri Sheshansh Agrawal 21 23 0 22 Oct 2022
Automatic Detection of Noisy Electrocardiogram Signals without Explicit Noise Labels Radhika Dua Jiyoung Lee Joon-Myoung Kwon E. Choi 22 0 0 08 Aug 2022
Task Agnostic and Post-hoc Unseen Distribution Detection Radhika Dua Seong-sil Yang Yixuan Li E. Choi OODD 11 10 0 26 Jul 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Fake It Till You Make It: Towards Accurate Near-Distribution Novelty Detection Hossein Mirzaei Mohammadreza Salehi Sajjad Shahabi E. Gavves Cees G. M. Snoek Mohammad Sabokrou M. Rohban OOD 13 6 0 28 May 2022
ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection W. T. Lunardi Martin Andreoni Lopez J. Giacalone 21 22 0 03 May 2022
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection Mohamed Yousef Marcel R. Ackermann Unmesh Kurup Tom E. Bishop OODD OOD 40 3 0 19 Mar 2022
Transformaly -- Two (Feature Spaces) Are Better Than One M. Cohen S. Avidan ViT 13 27 0 08 Dec 2021
Data Invariants to Understand Unsupervised Out-of-Distribution Detection Lars Doorenbos Raphael Sznitman Pablo Márquez-Neila OODD 27 6 0 26 Nov 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 32 71 0 16 Feb 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,375 0 09 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016