HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification

26 July 2021

Papers citing "HYPER-SNN: Towards Energy-efficient Quantized Deep Spiking Neural Networks for Hyperspectral Image Classification"

7 / 7 papers shown

Title
Ultra-low Latency Spiking Neural Networks with Spatio-Temporal Compression and Synaptic Convolutional Block Changqin Xu Yi Liu Yintang Yang 11 7 0 18 Mar 2022
Toward Efficient Hyperspectral Image Processing inside Camera Pixels Gourav Datta Zihan Yin A. Jacob Akhilesh R. Jaiswal P. Beerel 8 8 0 11 Mar 2022
P2M: A Processing-in-Pixel-in-Memory Paradigm for Resource-Constrained TinyML Applications Gourav Datta Souvik Kundu Zihan Yin R. T. Lakkireddy Joe Mathai A. Jacob P. Beerel Akhilesh R. Jaiswal 11 36 0 07 Mar 2022
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi G. Srinivasan Priyadarshini Panda Kaushik Roy 116 292 0 04 May 2020
Three dimensional Deep Learning approach for remote sensing image classification A. Ben Hamida A. Benoît P. Lambert C. Ben Amar 39 559 0 15 Jun 2018
Spiking Deep Residual Network Yang‐Zhi Hu Huajin Tang Gang Pan 111 75 0 28 Apr 2018
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney R. Legenstein Wolfgang Maass 111 477 0 26 Mar 2018