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
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 69 3 0 18 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 26 0 0 15 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 30 3 0 13 Apr 2025
Proxy-Anchor and EVT-Driven Continual Learning Method for Generalized Category Discovery Alireza Fathalizadeh Roozbeh Razavi-Far CLL 36 0 0 11 Apr 2025
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations Yifan Ding Arturas Aleksandrauskas Amirhossein Ahmadian Jonas Unger Fredrik Lindsten Gabriel Eilertsen OODD 38 1 0 10 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 51 0 0 04 Apr 2025
Benchmarking Post-Hoc Unknown-Category Detection in Food Recognition Lubnaa Abdur Rahman Ioannis Papathanail Lorenzo Brigato S. Mougiakakou 42 0 0 24 Mar 2025
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection Yuhang Liu Wenjie Zhao Yunhui Guo OODD 72 0 0 19 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 54 0 0 11 Mar 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection Yu Liu Hao Tang Hanwang Zhang Jing Qin ZeLin Li OODD 61 0 0 09 Mar 2025
Secure On-Device Video OOD Detection Without Backpropagation Li Li Peilin Cai Yuxiao Zhou Zhiyu Ni Renjie Liang You Qin Yi Nian Z. Tu Xiyang Hu Yue Zhao OODD FedML 65 2 0 08 Mar 2025
Adaptive Camera Sensor for Vision Models Eunsu Baek Sunghwan Han Taesik Gong Hyung-Sin Kim VLM Presented at ResearchTrend Connect \| VLM on 28 Mar 2025 164 0 0 04 Mar 2025
Open-Set Recognition of Novel Species in Biodiversity Monitoring Yuyan Chen Nico Lang B. Christian Schmidt Aditya Jain Yves Basset Sara Beery Maxim Larrivée David Rolnick 44 0 0 03 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 58 0 0 01 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 65 0 0 01 Mar 2025
OpenEarthSensing: Large-Scale Fine-Grained Benchmark for Open-World Remote Sensing Xiang Xiang Zhuo Xu Yao Deng Qinhao Zhou Yifan Liang Ke Chen Qingfang Zheng Yaowei Wang Xilin Chen Wen Gao VLM 48 0 0 28 Feb 2025
TS-OOD: Evaluating Time-Series Out-of-Distribution Detection and Prospective Directions for Progress Onat Gungor Amanda Rios Nilesh A. Ahuja T. Rosing OODD AI4TS 45 0 0 21 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 68 0 0 18 Feb 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 60 5 0 17 Feb 2025
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment Li Wang Wenyu Chen Zheng Li Shanqing Guo 41 0 0 15 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Danny Wang Ruihong Qiu Guangdong Bai Zi Huang 110 0 0 09 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes Yuanpeng Tu Yuxi Li Boshen Zhang Liang Liu Jingyang Zhang Yishuo Wang C. Zhao 61 3 0 03 Jan 2025
Adaptive Hierarchical Graph Cut for Multi-granularity Out-of-distribution Detection Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan OODD 80 0 0 20 Dec 2024
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 102 1 0 18 Dec 2024
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection Haonan Xu Yang Yang OODD 84 1 0 17 Dec 2024
Sonar-based Deep Learning in Underwater Robotics: Overview, Robustness and Challenges Martin Aubard Ana Madureira Luis F. Teixeira José Pinto AAML 75 2 0 16 Dec 2024
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio Xinrui Yan Jiangyan Yi J. Tao Yujie Chen Hao Gu Guanjun Li Junzuo Zhou Yong Ren Tao Xu 79 0 0 02 Dec 2024
Learning Structured Representations with Hyperbolic Embeddings Aditya Sinha Siqi Zeng M. Yamada Han Zhao 83 0 0 02 Dec 2024
FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector Jiankang Chen Ling Deng Zhiyong Gan Wei-Shi Zheng Ruixuan Wang OODD 86 0 0 22 Nov 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection Jiankang Chen Tong Zhang Wei-Shi Zheng Ruixuan Wang OODD 111 2 0 22 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 58 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 149 1 0 10 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data Aitor Martinez-Seras Javier Del Ser Alain Andres Pablo García Bringas Pablo Garcia-Bringas OODD 45 0 0 07 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 48 0 0 05 Nov 2024
Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity Mouin Ben Ammar David Brellmann Arturo Mendoza Antoine Manzanera Gianni Franchi OODD 34 0 0 04 Nov 2024
Adaptive Residual Transformation for Enhanced Feature-Based OOD Detection in SAR Imagery Kyung-Hwan Lee Kyung-Tae Kim 23 0 0 01 Nov 2024
Dimensionality-induced information loss of outliers in deep neural networks Kazuki Uematsu Kosuke Haruki Taiji Suzuki Mitsuhiro Kimura Takahiro Takimoto Hideyuki Nakagawa 23 0 0 29 Oct 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation Wenjun Miao Guansong Pang Jin Zheng Xiao Bai OODD 43 1 0 28 Oct 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 129 0 0 27 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang L. Zhang VLM OODD 33 2 0 26 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 26 0 0 24 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 130 0 0 19 Oct 2024
Process Reward Model with Q-Value Rankings W. Li Yixuan Li LRM 59 15 0 15 Oct 2024
Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor Shizuka Akahori S. Iizuka Ken Mawatari Kazuhiro Fukui 3DPC 37 1 0 13 Oct 2024
Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models Mengyuan Chen Junyu Gao Changsheng Xu VLM OODD 30 0 0 11 Oct 2024
A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions Saeed Rahmani Sabine Rieder Erwin de Gelder Marcel Sonntag Jorge Lorente Mallada Sytze Kalisvaart Vahid Hashemi Simeon C. Calvert 39 0 0 11 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection Haoyue Bai Jifan Zhang Robert Nowak 30 6 0 10 Oct 2024
Adaptive Label Smoothing for Out-of-Distribution Detection Mingle Xu Jaehwan Lee Sook Yoon D. Park OODD 28 2 0 08 Oct 2024