ReAct: Out-of-distribution Detection With Rectified Activations

24 November 2021

Papers citing "ReAct: Out-of-distribution Detection With Rectified Activations"

50 / 309 papers shown

Title
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection Jinggang Chen Junjie Li Xiaoyang Qu Jianzong Wang Jiguang Wan Jing Xiao OODD 17 9 0 16 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 154 23 0 06 Nov 2023
Learning to Augment Distributions for Out-of-Distribution Detection Qizhou Wang Zhen Fang Yonggang Zhang Feng Liu Yixuan Li Bo Han OODD 30 34 0 03 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 38 5 0 02 Nov 2023
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
Low-Dimensional Gradient Helps Out-of-Distribution Detection Yingwen Wu Tao Li Xinwen Cheng Jie-jin Yang Xiaolin Huang OODD 54 3 0 26 Oct 2023
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection Sangha Park J. Mok Dahuin Jung Saehyung Lee Sung-Hoon Yoon 22 10 0 25 Oct 2023
Contextualised Out-of-Distribution Detection using Pattern Identication Romain Xu-Darme Julien Girard-Satabin Darryl Hond Gabriele Incorvaia Zakaria Chihani OODD 20 0 0 24 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie-jin Yang OODD 45 2 0 22 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
Open-World Lifelong Graph Learning Marcel Hoffmann Lukas Galke A. Scherp 21 4 0 19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 32 0 0 19 Oct 2023
NECO: NEural Collapse Based Out-of-distribution detection Mouin Ben Ammar Nacim Belkhir Sebastian Popescu Antoine Manzanera Gianni Franchi OODD 29 18 0 10 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 24 12 0 09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 34 10 0 07 Oct 2023
OpenPatch: a 3D patchwork for Out-Of-Distribution detection Paolo Rabino A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 27 1 0 05 Oct 2023
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić Josip Jukić Martin Tutek Mate Puljiz Jan vSnajder OODD 26 5 0 04 Oct 2023
OOD Aware Supervised Contrastive Learning Soroush Seifi Daniel Olmeda Reino N. Chumerin Rahaf Aljundi OODD 26 2 0 03 Oct 2023
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms William Yang Byron Zhang Olga Russakovsky OODD 40 13 0 03 Oct 2023
Towards Distribution-Agnostic Generalized Category Discovery Jianhong Bai Zuo-Qiang Liu Hualiang Wang Ruizhe Chen Lianrui Mu Xiaomeng Li Qiufeng Wang Yang Feng Jian Wu Haoji Hu 44 9 0 02 Oct 2023
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? Atsuyuki Miyai Qing Yu Go Irie Kiyoharu Aizawa OODD 145 6 0 02 Oct 2023
Scaling for Training Time and Post-hoc Out-of-distribution Detection Enhancement Kai Xu Rongyu Chen Gianni Franchi Angela Yao OODD 45 32 0 30 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 28 5 0 28 Sep 2023
Class Incremental Learning via Likelihood Ratio Based Task Prediction Haowei Lin Yijia Shao W. Qian Ningxin Pan Yiduo Guo Bing-Quan Liu CLL 31 13 0 26 Sep 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 27 30 0 26 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 25 54 0 23 Sep 2023
Meta OOD Learning for Continuously Adaptive OOD Detection Xinheng Wu Jie Lu Zhen Fang Guangquan Zhang OODD 42 6 0 21 Sep 2023
ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation Zhitong Gao Shipeng Yan Xuming He OOD OODD 24 10 0 12 Sep 2023
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms Sudeepta Mondal G. Sundaramoorthi OODD 13 0 0 09 Sep 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder Zezhen Zeng Bin Liu OODD 28 1 0 05 Sep 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization Zekun Li Lei Qi Yinghuan Shi Yang Gao 23 29 0 25 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang Yi Li Huifeng Yao Xiaomeng Li VLM OODD 40 94 0 23 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret Pierre-Andre Noel Ioannis Mitliagkas David Vazquez João Monteiro OOD OODD 29 0 0 22 Aug 2023
Quantile-based Maximum Likelihood Training for Outlier Detection Masoud Taghikhah Nishant Kumar Sinisa Segvic Abouzar Eslami Stefan Gumhold 27 3 0 20 Aug 2023
Out-of-Distribution Detection for Monocular Depth Estimation Julia Hornauer Adrian Holzbock Vasileios Belagiannis UQCV 35 4 0 11 Aug 2023
When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Yiyou Sun Zhenmei Shi Yingyu Liang Yixuan Li 37 19 0 09 Aug 2023
MSAC: Multiple Speech Attribute Control Method for Reliable Speech Emotion Recognition Y. Pan Yuguang Yang Yuheng Huang Jixun Yao Jingjing Yin Yanni Hu Heng Lu Lei Ma Jianjun Zhao 34 5 0 08 Aug 2023
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Mais Al Taie J. Yung Tucker Netherton Ankit B. Patel Kristy K. Brock OOD 30 6 0 07 Aug 2023
Three Factors to Improve Out-of-Distribution Detection Hyunjun Choi Jaeho Chung Hawook Jeong J. Choi OODD 26 2 0 02 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Sima Behpour T. Doan Xin Li Wenbin He Liangke Gou Liu Ren OODD 37 12 0 01 Aug 2023
General-Purpose Multi-Modal OOD Detection Framework Viet Duong Qiong Wu Zhengyi Zhou Eric Zavesky Jiahe Chen Xiangzhou Liu Wen-Ling Hsu Huajie Shao OODD 46 2 0 24 Jul 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 35 3 0 24 Jul 2023
Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers Jaeyoung Kim Kyuheon Jung Dongbin Na Sion Jang Eunbin Park Sungchul Choi OODD 32 6 0 18 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 44 4 0 13 Jul 2023
Large Class Separation is not what you need for Relational Reasoning-based OOD Detection L. Lu Giulia DÁscenzi Francesco Cappio Borlino Tatiana Tommasi OODD 25 1 0 12 Jul 2023
Reject option models comprising out-of-distribution detection Vojtech Franc D. Prusa Jakub Paplhám OODD 13 2 0 11 Jul 2023
Distill-SODA: Distilling Self-Supervised Vision Transformer for Source-Free Open-Set Domain Adaptation in Computational Pathology Guillaume Vray Devavrat Tomar Jean-Philippe Thiran Behzad Bozorgtabar MedIm 29 0 0 10 Jul 2023
Learning Adversarial Semantic Embeddings for Zero-Shot Recognition in Open Worlds Tianqi Li Guansong Pang Xiao Bai Jingyi Zheng Lei Zhou Xin Ning VLM 40 27 0 07 Jul 2023