OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection

31 March 2021

Papers citing "OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection"

7 / 7 papers shown

Title
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech Szu-Wei Fu Kuo-Hsuan Hung Yu Tsao Yu-Chiang Frank Wang SSL 27 11 0 26 Feb 2024
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 32 34 0 21 Sep 2023
Anomaly Detection in Industrial Machinery using IoT Devices and Machine Learning: a Systematic Mapping S. Chevtchenko E. Rocha M. C. M. D. Santos Ricardo. L. Mota Diego. M. Vieira Ermeson Carneiro De Andrade Danilo Ricardo Barbosa de Araújo 16 10 0 28 Jul 2023
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection M. Shafiee M. Famouri Gautam Bathla Francis Li Alexander Wong 27 3 0 29 Nov 2021
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection Harsh Purohit Ryo Tanabe K. Ichige Takashi Endo Yuki Nikaido Kaori Suefusa Y. Kawaguchi 73 304 0 20 Sep 2019
Efficient Multi-objective Neural Architecture Search via Lamarckian Evolution T. Elsken J. H. Metzen Frank Hutter 131 498 0 24 Apr 2018