ViM: Out-Of-Distribution with Virtual-logit Matching

21 March 2022

Papers citing "ViM: Out-Of-Distribution with Virtual-logit Matching"

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Title
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 29 1 0 02 Apr 2025
VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection Bin Zhang Xiaoyang Qu Guokuan Li Jiguang Wan Jianzong Wang VLM 51 0 0 28 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
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 202 0 0 27 Feb 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 132 0 0 20 Jan 2025
From Open Vocabulary to Open World: Teaching Vision Language Models to Detect Novel Objects Zizhao Li Zhengkang Xiang Joseph West Kourosh Khoshelham ObjD VLM 94 1 0 27 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 54 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 137 1 0 10 Nov 2024
PViT: Prior-augmented Vision Transformer for Out-of-distribution Detection Tianhao Zhang Zhixiang Chen Lyudmila Mihaylova 110 0 0 27 Oct 2024
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation Seulbi Lee J. Kim Sangheum Hwang LRM 111 0 0 19 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
Multi-Robot Motion Planning with Diffusion Models Yorai Shaoul Itamar Mishani Shivam Vats Jiaoyang Li Maxim Likhachev DiffM 40 5 0 04 Oct 2024
MONICA: Benchmarking on Long-tailed Medical Image Classification Lie Ju Siyuan Yan Yukun Zhou Yang Nan Xiaodan Xing Peibo Duan Zongyuan Ge 54 0 0 02 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 66 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
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity Junkun Chen Jilin Mei Liang Chen Fangzhou Zhao Yu Hu Yu Hu ObjD 40 0 0 09 Sep 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 40 1 0 16 Jul 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection Eduardo Dadalto F. Alberge Pierre Duhamel Pablo Piantanida OODD 45 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
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 69 1 0 28 May 2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections Maximilian Granz Manuel Heurich Tim Landgraf OODD 39 1 0 27 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations Mohammad Azizmalayeri Ameen Abu-Hanna Giovanni Cina OODD 44 1 0 21 May 2024
Out-of-Distribution Detection with a Single Unconditional Diffusion Model Alvin Heng Alexandre H. Thiery Harold Soh 41 0 0 20 May 2024
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector Andi Zhang Tim Z. Xiao Weiyang Liu Robert Bamler Damon J. Wischik OODD 44 4 0 07 Apr 2024
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Design Yingrui Ji Yao Zhu Zhigang Li Jiansheng Chen Yun-long Kong Jingbo Chen OODD 35 0 0 06 Mar 2024
Kernel PCA for Out-of-Distribution Detection Kun Fang Qinghua Tao Kexin Lv M. He Xiaolin Huang Jie-jin Yang OODD 46 2 0 05 Feb 2024
HAROOD: Human Activity Classification and Out-of-Distribution Detection with Short-Range FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard G. Steinbach 32 4 0 14 Dec 2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable and Trustworthy Image Recognition Chong Wang Yuanhong Chen Fengbei Liu Yuyuan Liu Davis J. McCarthy Helen Frazer Gustavo Carneiro 20 1 0 30 Nov 2023
ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection Naveen Karunanayake Suranga Seneviratne Sanjay Chawla OODD 23 1 0 23 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
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
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 26 0 0 15 Sep 2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation Haoqi Wang Zhizhong Li Wayne Zhang 15 2 0 03 Aug 2023
HOOD: Real-Time Human Presence and Out-of-Distribution Detection Using FMCW Radar Sabri Mustafa Kahya Muhammet Sami Yavuz Eckehard Steinbach 33 3 0 24 Jul 2023
Classical Out-of-Distribution Detection Methods Benchmark in Text Classification Tasks M. Baran Joanna Baran Mateusz Wójcik Maciej Ziȩba Adam Gonczarek OODD 33 4 0 13 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
Image Background Serves as Good Proxy for Out-of-distribution Data Sen Pei 34 1 0 02 Jul 2023
In-Distribution and Out-of-Distribution Self-supervised ECG Representation Learning for Arrhythmia Detection S. Soltanieh J. Hashemi Ali Etemad 21 11 0 13 Apr 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 24 3 0 14 Mar 2023
Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection Zhen Cheng Fei Zhu Xu-Yao Zhang Cheng-Lin Liu MoMe OODD 40 11 0 02 Mar 2023
Rethinking Out-of-Distribution Detection From a Human-Centric Perspective Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Hui Xue Xiang Tian Rongxin Jiang Bo Zheng Yao-wu Chen OODD 21 7 0 30 Nov 2022
Out-Of-Distribution Detection Is Not All You Need Joris Guérin Kevin Delmas Raul Sena Ferreira Jérémie Guiochet OODD 27 32 0 29 Nov 2022
Packed-Ensembles for Efficient Uncertainty Estimation Olivier Laurent Adrien Lafage Enzo Tartaglione Geoffrey Daniel Jean-Marc Martinez Andrei Bursuc Gianni Franchi OODD 41 32 0 17 Oct 2022
Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun Yifei Ming Xiaojin Zhu Yixuan Li OODD 19 487 0 13 Apr 2022
Full-Spectrum Out-of-Distribution Detection Jingkang Yang Kaiyang Zhou Ziwei Liu OODD 23 57 0 11 Apr 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 26 3 0 19 Mar 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 185 875 0 21 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 189 328 0 01 Oct 2021
RepVGG: Making VGG-style ConvNets Great Again Xiaohan Ding X. Zhang Ningning Ma Jungong Han Guiguang Ding Jian-jun Sun 136 1,546 0 11 Jan 2021
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He Zhi-Li Zhang Hang Zhang Zhongyue Zhang Junyuan Xie Mu Li 221 1,399 0 04 Dec 2018