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
Look Around and Find Out: OOD Detection with Relative Angles Berker Demirel Marco Fumero Francesco Locatello 29 0 0 06 Oct 2024
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors Shuangpeng Han Mengmi Zhang 119 0 0 03 Oct 2024
Solution for OOD-CV Workshop SSB Challenge 2024 (Open-Set Recognition Track) Mingxu Feng Dian Chao Peng Zheng Yang Yang 21 0 0 30 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 25 0 0 29 Sep 2024
Visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks Debargha Ganguly Debayan Gupta Vipin Chaudhary GNN 31 1 0 26 Sep 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View Han Wang Yixuan Li CML 39 0 0 26 Sep 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
Margin-bounded Confidence Scores for Out-of-Distribution Detection L. Tamang Mohamed Reda Bouadjenek Richard Dazeley Sunil Aryal OODD 46 0 0 22 Sep 2024
Data Distribution Shifts in (Industrial) Federated Learning as a Privacy Issue David Brunner Alessio Montuoro FedML 23 0 0 20 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 68 3 0 18 Sep 2024
Uncertainty-Guided Appearance-Motion Association Network for Out-of-Distribution Action Detection Xiang Fang Arvind Easwaran B. Genest 36 4 0 16 Sep 2024
Logit Scaling for Out-of-Distribution Detection Andrija Djurisic Rosanne Liu Mladen Nikolic OODD 53 1 0 02 Sep 2024
Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection Jinglun Li Xinyu Zhou Pinxue Guo Yixuan Sun Yiwen Huang Weifeng Ge Wenqiang Zhang 33 2 0 28 Aug 2024
Diffusion based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection Suhee Yoon Sanghyu Yoon Hankook Lee Ye Seul Sim Sungik Choi Kyungeun Lee Hye-Seung Cho Woohyung Lim 33 0 0 27 Aug 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification Christos Constantinou Georgios Ioannides Aman Chadha Aaron Elkins Edwin Simpson OODD 41 0 0 20 Aug 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning Dong Geun Shin Hye Won Chung OODD 31 0 0 20 Aug 2024
Out-of-Distribution Learning with Human Feedback Haoyue Bai Xuefeng Du Katie Rainey Shibin Parameswaran Yixuan Li OODD 26 3 0 14 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector Jirayu Burapacheep Yixuan Li OODD 37 3 0 09 Aug 2024
Dimensionality Reduction and Nearest Neighbors for Improving Out-of-Distribution Detection in Medical Image Segmentation M. Woodland Nihil Patel Austin Castelo Mais Al Taie Mohamed Eltaher ... Nakul Gupta David Victor Laura Beretta Ankit B. Patel Kristy K. Brock OOD 29 0 0 05 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 30 1 0 31 Jul 2024
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai Jingkang Yang Jingyang Zhang Yifei Ming Sisir Dhakal ... Yixuan Li Hai "Helen" Li Ziwei Liu Toshihiko Yamasaki Kiyoharu Aizawa 40 9 0 31 Jul 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 37 0 0 31 Jul 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions Kai-Chun Liu Zhihang Fu Chao Chen Sheng Jin Ze Chen Mingyuan Tao Rongxin Jiang Jieping Ye VLM OODD 58 4 0 23 Jul 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution Kai-Chun Liu Zhihang Fu Sheng Jin Chao Chen Ze Chen Rongxin Jiang Fan Zhou Yao-Shen Chen Jieping Ye OODD 46 0 0 23 Jul 2024
A3Rank: Augmentation Alignment Analysis for Prioritizing Overconfident Failing Samples for Deep Learning Models Zhengyuan Wei Haipeng Wang Qili Zhou William Chan 34 0 0 19 Jul 2024
Are We Ready for Out-of-Distribution Detection in Digital Pathology? Ji-Hun Oh Kianoush Falahkheirkhah Rohit Bhargava OODD 43 2 0 18 Jul 2024
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models Yabin Zhang Wenjie Zhu Chenhang He Lei Zhang VLM 47 7 0 12 Jul 2024
Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods Paul Novello Yannick Prudent Joseba Dalmau Corentin Friedrich Y. Pequignot OODD 37 1 0 09 Jul 2024
OpenCIL: Benchmarking Out-of-Distribution Detection in Class-Incremental Learning Wenjun Miao Guansong Pang Trong-Tung Nguyen Ruohang Fang Jin Zheng Xiao Bai OODD 36 1 0 08 Jul 2024
FlowCon: Out-of-Distribution Detection using Flow-Based Contrastive Learning Saandeep Aathreya Shaun J. Canavan OODD 36 0 0 03 Jul 2024
Unveiling the Unknown: Conditional Evidence Decoupling for Unknown Rejection Zhaowei Wu Binyi Su Hua Zhang Zhong Zhou EDL 52 0 0 26 Jun 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 48 0 0 23 Jun 2024
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors Peter Lorenz Mario Fernandez Jens Müller Ullrich Kothe AAML 78 1 0 21 Jun 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li Boya Xiong Guanhua Chen Yun Chen OODD 35 2 0 18 Jun 2024
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning Chaoqin Huang Haoyan Guan Aofan Jiang Yanfeng Wang Michael W. Spratling Xinchao Wang Ya Zhang 59 0 0 13 Jun 2024
FOOD: Facial Authentication and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Boran Hamdi Sivrikaya Muhammet Sami Yavuz Eckehard Steinbach CVBM 38 2 0 06 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure Choubo Ding Guansong Pang OODD VLM 30 3 0 03 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 72 1 0 28 May 2024
MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities Hao Dong Yue Zhao Eleni Chatzi Olga Fink OODD 37 11 0 27 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 46 1 0 27 May 2024
CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection Lin Zhu Yifeng Yang Qinying Gu Xinbing Wang Cheng Zhou Nanyang Ye VLM 34 2 0 26 May 2024
Enhancing Near OOD Detection in Prompt Learning: Maximum Gains, Minimal Costs M. Jung He Zhao Joanna Dipnall Belinda Gabbe Lan Du VLM OODD 34 1 0 25 May 2024
CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring Hao Fu Naman Patel Prashanth Krishnamurthy Farshad Khorrami OODD 26 4 0 23 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 47 1 0 21 May 2024
How to train your ViT for OOD Detection Maximilian Mueller Matthias Hein 18 0 0 21 May 2024
A Unified Approach Towards Active Learning and Out-of-Distribution Detection Sebastian Schmidt Leonard Schenk Leo Schwinn Stephan Günnemann 46 3 0 18 May 2024
Monitizer: Automating Design and Evaluation of Neural Network Monitors Muqsit Azeem Marta Grobelna Sudeep Kanav Jan Křetínský Stefanie Mohr Sabine Rieder 39 2 0 16 May 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection Claus Hofmann Simon Schmid Bernhard Lehner Daniel Klotz Sepp Hochreiter OODD 45 8 0 14 May 2024
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring Khoi Tran Dang Kevin Delmas Jérémie Guiochet Joris Guérin 43 1 0 14 May 2024
Selective Classification Under Distribution Shifts Hengyue Liang Le Peng Ju Sun UQCV 43 1 0 08 May 2024