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

ArXiv (abs)PDF HTML

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

5 / 5 papers shown

Title
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe M. Victoria Martínez Unai Martínez-Corral Óscar Mata-Carballeira Inés del Campo 164 27 0 28 Nov 2024
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators Lukas Cavigelli Georg Rutishauser Luca Benini MQ 106 38 0 30 Aug 2019
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 112 27 0 15 Aug 2018
Hyperdrive: A Multi-Chip Systolically Scalable Binary-Weight CNN Inference Engine Renzo Andri Lukas Cavigelli D. Rossi Luca Benini MQ 106 19 0 05 Mar 2018
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data Lukas Cavigelli Philippe Degen Luca Benini BDL 114 52 0 14 Apr 2017