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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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05/10/2019
EdgeSegNet: A Compact Network for Semantic Segmentation
In this study, we introduce EdgeSegNet, a compact deep convolutional neu...
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03/18/2019
AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design
While deep neural networks have achieved state-of-the-art performance ac...
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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