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

15 August 2018

Lukas Cavigelli

Luca Benini

Papers citing "CBinfer: Exploiting Frame-to-Frame Locality for Faster Convolutional Network Inference on Video Streams"

5 / 5 papers shown

Title
MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos Mathias Parger Chengcheng Tang Thomas Neff Christopher D. Twigg Cem Keskin Robert Y. Wang M. Steinberger 21 6 0 18 Oct 2022
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
Vau da muntanialas: Energy-efficient multi-die scalable acceleration of RNN inference G. Paulin Francesco Conti Lukas Cavigelli Luca Benini 24 8 0 14 Feb 2022
EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces T. Ingolfsson Michael Hersche Xiaying Wang Nobuaki Kobayashi Lukas Cavigelli Luca Benini 21 190 0 31 May 2020
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 319 1,049 0 10 Feb 2017