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Gradient-based Novelty Detection Boosted by Self-supervised Binary
  Classification

Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification

18 December 2021
Jingbo Sun
Li Yang
Jiaxin Zhang
Frank Liu
M. Halappanavar
Deliang Fan
Yu Cao
ArXivPDFHTML

Papers citing "Gradient-based Novelty Detection Boosted by Self-supervised Binary Classification"

3 / 3 papers shown
Title
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection
Yingwen Wu
Ruiji Yu
Xinwen Cheng
Zhengbao He
Xiaolin Huang
OODD
88
3
0
28 May 2024
Gradients as a Measure of Uncertainty in Neural Networks
Gradients as a Measure of Uncertainty in Neural Networks
Jinsol Lee
Ghassan AlRegib
UQCV
48
60
0
18 Aug 2020
Latent Space Autoregression for Novelty Detection
Latent Space Autoregression for Novelty Detection
Davide Abati
Angelo Porrello
Simone Calderara
Rita Cucchiara
100
434
0
04 Jul 2018
1