Code for the paper "AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks"
-
Updated
Nov 12, 2024 - Python
Code for the paper "AdaProj: Adaptively Scaled Angular Margin Subspace Projections for Anomalous Sound Detection with Auxiliary Classification Tasks"
A comprehensive collection of implementations for Deep Neural Networks, including Autoencoders, MLPs, CNNs, RNNs (LSTM/GRU), Sparse R-CNN, and Transformers. Features applications in dimensionality reduction, face recognition with Angular Margin Loss, sentiment analysis, object detection, and NLP classification
Add a description, image, and links to the angular-margin-loss topic page so that developers can more easily learn about it.
To associate your repository with the angular-margin-loss topic, visit your repo's landing page and select "manage topics."