CBinfer: Change-Based Inference for Convolutional Neural Networks on
Video Data

CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data

14 April 2017

Lukas Cavigelli

Luca Benini

Papers citing "CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data"

9 / 9 papers shown

Title
Incrementally-Computable Neural Networks: Efficient Inference for Dynamic Inputs Or Sharir Anima Anandkumar 32 0 0 27 Jul 2023
Survey: Exploiting Data Redundancy for Optimization of Deep Learning Jou-An Chen Wei Niu Bin Ren Yanzhi Wang Xipeng Shen 23 24 0 29 Aug 2022
Boosting Mobile CNN Inference through Semantic Memory Yun Li Chen Zhang S. Han Li Lyna Zhang B. Yin Yunxin Liu Mengwei Xu ObjD 39 16 0 05 Dec 2021
CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video Huizi Mao Taeyoung Kong W. Dally VOT 24 23 0 30 Sep 2018
CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams Lukas Cavigelli Luca Benini 21 26 0 15 Aug 2018
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
fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs Stylianos I. Venieris C. Bouganis 38 32 0 23 Nov 2017
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity? Manuele Rusci Lukas Cavigelli Luca Benini MQ 23 20 0 21 Nov 2017
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