NECO: NEural Collapse Based Out-of-distribution detection

10 October 2023

Papers citing "NECO: NEural Collapse Based Out-of-distribution detection"

21 / 21 papers shown

Title
ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks Erik Wallin Fredrik Kahl Lars Hammarstrand OODD 52 0 0 27 Mar 2025
AdaSCALE: Adaptive Scaling for OOD Detection Sudarshan Regmi OODD 52 0 0 11 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 42 0 0 03 Mar 2025
Concept Matching with Agent for Out-of-Distribution Detection YuXiao Lee Xiaofeng Cao Jingcai Guo Wei Ye Qing-Wu Guo Yi Chang 56 0 0 08 Jan 2025
NCDD: Nearest Centroid Distance Deficit for Out-Of-Distribution Detection in Gastrointestinal Vision Sandesh Pokhrel Sanjay Bhandari Sharib Ali Tryphon Lambrou Anh Nguyen Y. Shrestha Angus Watson Danail Stoyanov P. Gyawali Binod Bhattarai 62 1 0 02 Dec 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 29 0 0 04 Nov 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 55 2 0 18 Sep 2024
Out-of-Distribution Detection with Attention Head Masking for Multimodal Document Classification Christos Constantinou Georgios Ioannides Aman Chadha Aaron Elkins Edwin Simpson OODD 35 0 0 20 Aug 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 42 0 0 23 Jul 2024
ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection Erik Wallin Lennart Svensson Fredrik Kahl Lars Hammarstrand OODD 34 1 0 16 Jul 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 40 12 0 28 May 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 64 1 0 28 May 2024
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 31 5 0 02 Nov 2023
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 158 148 0 20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 56 52 0 18 Sep 2022
Linking Neural Collapse and L2 Normalization with Improved Out-of-Distribution Detection in Deep Neural Networks J. Haas William Yolland B. Rabus OODD 41 14 0 17 Sep 2022
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 171 873 0 21 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 167 404 0 12 Oct 2021
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 175 328 0 01 Oct 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,356 0 25 Aug 2016
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014