A Groupwise Point Convolution is a type of convolution where we apply a point convolution groupwise (using different set of convolution filter groups).

Image Credit: Chi-Feng Wang

Source: ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

Latest Papers

PAPER DATE
Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong WangYibing SongChao MaBing Zeng
2020-08-03
Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
| Tri DaoNimit SohoniAlbert GuMatthew EichhornAmit BlonderMegan LeszczynskiAtri RudraChristopher Ré
2020-05-01
DyNet: Dynamic Convolution for Accelerating Convolutional Neural Networks
Yikang ZhangJian ZhangQiang WangZhao Zhong
2020-04-22
Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations
| Yichi ZhangRitchie ZhaoWeizhe HuaNayun XuG. Edward SuhZhiru Zhang
2020-02-17
Pre-defined Sparsity for Low-Complexity Convolutional Neural Networks
Souvik KunduMahdi NazemiMassoud PedramKeith M. ChuggPeter A. Beerel
2020-01-29
CNN-CASS: CNN for Classification of Coronary Artery Stenosis Score in MPR Images
Mariia DobkoBohdan PetryshakOles Dobosevych
2020-01-23
Quantisation and Pruning for Neural Network Compression and Regularisation
| Kimessha PaupamahSteven JamesRichard Klein
2020-01-14
ZeroQ: A Novel Zero Shot Quantization Framework
| Yaohui CaiZhewei YaoZhen DongAmir GholamiMichael W. MahoneyKurt Keutzer
2020-01-01
LiteSeg: A Novel Lightweight ConvNet for Semantic Segmentation
| Taha EmaraHossam E. Abd El MunimHazem M. Abbas
2019-12-13
Depth-wise Decomposition for Accelerating Separable Convolutions in Efficient Convolutional Neural Networks
Yihui HeJianing QianJianren Wang
2019-10-21
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs
Souvik KunduSaurav PrakashHaleh AkramiPeter A. BeerelKeith M. Chugg
2019-10-02
EdgeCNN: Convolutional Neural Network Classification Model with small inputs for Edge Computing
| Shunzhi YangZheng GongKai YeYungen WeiZheng HuangZhenhua Huang
2019-09-30
RRNet: Repetition-Reduction Network for Energy Efficient Decoder of Depth Estimation
Sangyun OhHye-Jin S. KimJongeun LeeJunmo Kim
2019-07-23
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Yinglong WangQinfeng ShiEhsan AbbasnejadChao MaXiaoping MaBing Zeng
2019-06-22
HGC: Hierarchical Group Convolution for Highly Efficient Neural Network
Xukai XieYuan ZhouSun-Yuan Kung
2019-06-09
Butterfly Transform: An Efficient FFT Based Neural Architecture Design
| Keivan Alizadeh VahidAnish PrabhuAli FarhadiMohammad Rastegari
2019-06-05
Learnable Embedding Space for Efficient Neural Architecture Compression
| Shengcao CaoXiaofang WangKris M. Kitani
2019-02-01
Slimmable Neural Networks
| Jiahui YuLinjie YangNing XuJianchao YangThomas Huang
2018-12-21
ShuffleNASNets: Efficient CNN models through modified Efficient Neural Architecture Search
Kevin Alexander LaubeAndreas Zell
2018-12-07
DSNet for Real-Time Driving Scene Semantic Segmentation
Wenfu WangZhijie Pan
2018-12-06
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
| Sachin MehtaMohammad RastegariLinda ShapiroHannaneh Hajishirzi
2018-11-28

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