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01/23/2023
PCBDet: An Efficient Deep Neural Network Object Detection Architecture for Automatic PCB Component Detection on the Edge
There can be numerous electronic components on a given PCB, making the t...
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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...
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10/15/2019
State of Compact Architecture Search For Deep Neural Networks
The design of compact deep neural networks is a crucial task to enable w...
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10/03/2019
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection
Object detection remains an active area of research in the field of comp...
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09/12/2019
Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving
An effective deep learning development process is critical for widesprea...
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09/17/2018
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis
The tremendous potential exhibited by deep learning is often offset by a...
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02/19/2018
Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection
Object detection is a major challenge in computer vision, involving both...
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01/16/2018
StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks
The computational complexity of leveraging deep neural networks for extr...
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11/20/2017
SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis
While deep neural networks have been shown in recent years to outperform...
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09/18/2017
Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video
Object detection is considered one of the most challenging problems in t...
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07/01/2017
