Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?

27 September 2023

Papers citing "Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?"

5 / 5 papers shown

Title
Timbre Difference Capturing in Anomalous Sound Detection Tomoya Nishida Harsh Purohit Kota Dohi Takashi Endo Y. Kawaguchi 21 0 0 29 Oct 2024
Improvements of Discriminative Feature Space Training for Anomalous Sound Detection in Unlabeled Conditions Takuya Fujimura Ibuki Kuroyanagi Tomoki Toda 24 0 0 14 Sep 2024
AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks Kevin Wilkinghoff 21 1 0 21 Mar 2024
Self-Supervised Learning for Anomalous Sound Detection Kevin Wilkinghoff 29 11 0 15 Dec 2023
Threshold Independent Evaluation of Sound Event Detection Scores Janek Ebbers Romain Serizel Reinhold Haeb-Umbach 22 41 0 31 Jan 2022