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07/16/2019
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systems
Batch-normalization (BN) layers are thought to be an integrally importan...
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10/08/2018
Diagnosing Convolutional Neural Networks using their Spectral Response
Convolutional Neural Networks (CNNs) are a class of artificial neural ne...
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02/23/2018
Training wide residual networks for deployment using a single bit for each weight
For fast and energy-efficient deployment of trained deep neural networks...
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04/21/2017
Track Everything: Limiting Prior Knowledge in Online Multi-Object Recognition
This paper addresses the problem of online tracking and classification o...
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09/28/2016
Understanding data augmentation for classification: when to warp?
In this paper we investigate the benefit of augmenting data with synthet...
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03/16/2015
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network
We present a neural network architecture and training method designed to...
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12/29/2014
