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Computationally Efficient Target Classification in Multispectral Image
  Data with Deep Neural Networks

Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks

9 November 2016
Lukas Cavigelli
Dominic Bernath
Michele Magno
Luca Benini
ArXivPDFHTML

Papers citing "Computationally Efficient Target Classification in Multispectral Image Data with Deep Neural Networks"

4 / 4 papers shown
Title
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional
  Network Inference on Video Streams
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams
Lukas Cavigelli
Luca Benini
24
26
0
15 Aug 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN
  Inference Engine
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
MQ
24
19
0
05 Mar 2018
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
22
51
0
14 Apr 2017
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
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