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Search results for imagenet convolution

27 search results found

Fb.resnet.torch ⭐ 1,945

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

Condensenet ⭐ 655

CondenseNet: Light weighted CNN for mobile devices

dabnn is an accelerated binary neural networks inference framework for mobile platform

Shufflenet ⭐ 251

ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Code and Pretrained model for IGCV3

Octconv.pytorch ⭐ 187

PyTorch implementation of Octave Convolution with pre-trained Oct-ResNet and Oct-MobileNet models

Gpu Efficient Networks ⭐ 162

Implementation for <Decoupled Networks> in CVPR'18.

Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)

Partial_conv Tensorflow ⭐ 85

Simple Tensorflow implementation of "Partial Convolution based Padding" (partialconv)

Dgconv.pytorch ⭐ 56

PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models

Cnns Without Borders ⭐ 53

Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"

Accurate Binary Convolution Network ⭐ 42

Binary Convolution Network for faster real-time processing in ASICs

Sknet Pytorch ⭐ 39

Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet

Tensorflow implementation for 'LCNN: Lookup-based Convolutional Neural Network'. Predict Faster using Models Trained Fast with Multi-GPUs

Emerging ⭐ 26

Squeezenext.pytorch ⭐ 20

re-implement for paper: SqueezeNext: Hardware-Aware Neural Network Design. (SqueezeNext)

Xception.mxnet ⭐ 20

A MXNet implementation of Xception

Cnn_vgg19_verilog ⭐ 20

Convolution Neural Network of vgg19 model in verilog

Cnn Fcf Cvpr 2019 ⭐ 15

Tensorflow Resnets ⭐ 14

A hub for ResNet based models and pretrained weights in TensorFlow.

Shuffledet ⭐ 11

this work is based on https://github.com/BichenWuUCB/squeezeDet, what different is that: - we changed squeezenet part in squeedet into shufflenetv2. - we build the classification task on ImageNet so you can pretrain the shufflenetv2 by yourself. - we do the quantization of weights and activitions and fusion the BN layer into convolution layer.

Seesawnet_pytorch ⭐ 9

Pytorch(0.4.1/1.0 verified) codes and pre-trained models for the paper: Seesaw-Net: Convolution Neural Network With Uneven Group Convolution.

Convnetcs ⭐ 9

convolution neural network library in C# with Pretrained models based on convnetjs

Igcv_v1.pytorch ⭐ 5

re-implement for paper: Interleaved Group Convolutions for Deep Neural Networks. (IGCV V1)

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1-27 of 27 search results

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