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"

14 / 14 papers shown

Title
EvConv: Fast CNN Inference on Event Camera Inputs For High-Speed Robot Perception Sankeerth Durvasula Yushi Guan Nandita Vijaykumar 34 0 0 08 Mar 2023
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 27 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
DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos Mathias Parger Chengcheng Tang Christopher D. Twigg Cem Keskin Robert Y. Wang M. Steinberger 18 27 0 08 Mar 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
Training for temporal sparsity in deep neural networks, application in video processing Amirreza Yousefzadeh Manolis Sifalakis 21 3 0 15 Jul 2021
TinyRadarNN: Combining Spatial and Temporal Convolutional Neural Networks for Embedded Gesture Recognition with Short Range Radars Moritz Scherer Michele Magno Jonas Erb Philipp Mayer M. Eggimann Luca Benini 11 67 0 25 Jun 2020
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 26 190 0 31 May 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 37 29 0 26 Mar 2020
RPR: Random Partition Relaxation for Training; Binary and Ternary Weight Neural Networks Lukas Cavigelli Luca Benini MQ 21 9 0 04 Jan 2020
FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things Xiaying Wang Michele Magno Lukas Cavigelli Luca Benini 19 116 0 08 Nov 2019
EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators Lukas Cavigelli Georg Rutishauser Luca Benini MQ 6 34 0 30 Aug 2019
Extended Bit-Plane Compression for Convolutional Neural Network Accelerators Lukas Cavigelli Luca Benini 21 20 0 01 Oct 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 337 1,049 0 10 Feb 2017