Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection

Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection

28 May 2024

Xiaolin Huang

Papers citing "Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection"

7 / 7 papers shown

Title
The Persistence of Neural Collapse Despite Low-Rank Bias: An Analytic Perspective Through Unconstrained Features Connall Garrod Jonathan P. Keating 29 1 0 30 Oct 2024
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 136 23 0 06 Nov 2023
Out-of-distribution Detection with Implicit Outlier Transformation Qizhou Wang Junjie Ye Feng Liu Quanyu Dai Marcus Kalander Tongliang Liu Jianye Hao Bo Han OODD 128 45 0 09 Mar 2023
Boosting Out-of-distribution Detection with Typical Features Yao Zhu YueFeng Chen Chuanlong Xie Xiaodan Li Rong Zhang Hui Xue Xiang Tian Bolun Zheng Yao-wu Chen OODD 62 49 0 09 Oct 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
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 171 324 0 01 Oct 2021
Contrastive Representation Learning: A Framework and Review Phúc H. Lê Khắc Graham Healy A. Smeaton SSL AI4TS 146 670 0 10 Oct 2020