research
∙
12/20/2022
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments
Light guide plates are essential optical components widely used in a div...
share
research
∙
08/15/2022
Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers
With the growing adoption of deep learning for on-device TinyML applicat...
research
∙
04/25/2022
CellDefectNet: A Machine-designed Attention Condenser Network for Electroluminescence-based Photovoltaic Cell Defect Inspection
Photovoltaic cells are electronic devices that convert light energy to e...
research
∙
04/25/2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
Light guide plates are essential optical components widely used in a div...
research
∙
11/29/2021
TinyDefectNet: Highly Compact Deep Neural Network Architecture for High-Throughput Manufacturing Visual Quality Inspection
A critical aspect in the manufacturing process is the visual quality ins...
research
∙
09/14/2021
COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification
The COVID-19 pandemic continues to have a devastating global impact, and...
research
∙
04/29/2021
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge
In this study, we introduce AttendSeg, a low-precision, highly compact d...
research
∙
03/31/2021
OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection
Human operators often diagnose industrial machinery via anomalous sounds...
research
∙
03/06/2021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Pulmonary fibrosis is a devastating chronic lung disease that causes irr...
research
∙
11/21/2020
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
Skin cancer continues to be the most frequently diagnosed form of cancer...
research
∙
09/30/2020
AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers
While significant advances in deep learning has resulted in state-of-the...
research
∙
08/10/2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
Advances in deep learning have led to state-of-the-art performance acros...
research
∙
04/17/2020
