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A Pre-defined Sparse Kernel Based Convolution for Deep CNNs

A Pre-defined Sparse Kernel Based Convolution for Deep CNNs

2 October 2019
Souvik Kundu
Saurav Prakash
H. Akrami
P. Beerel
K. Chugg
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Papers citing "A Pre-defined Sparse Kernel Based Convolution for Deep CNNs"

4 / 4 papers shown
Title
Multimodal deep learning for mapping forest dominant height by fusing
  GEDI with earth observation data
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data
Man Chen
Wenquan Dong
Hao Yu
Iain Woodhouse
Casey M. Ryan
Haoyu Liu
Selena Georgiou
E. Mitchard
11
1
0
20 Nov 2023
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike
  Hybrid Input Encoding
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
P. Beerel
40
27
0
26 Jul 2021
Pre-Defined Sparse Neural Networks with Hardware Acceleration
Pre-Defined Sparse Neural Networks with Hardware Acceleration
Sourya Dey
Kuan-Wen Huang
P. Beerel
K. Chugg
36
24
0
04 Dec 2018
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
305
1,047
0
10 Feb 2017
1