SENet-Caffe

Neural Network

An implementation of a neural network architecture for image classification using the Caffe framework.

A Caffe Re-Implementation of SENet

GitHub

169 stars
11 watching
100 forks
last commit: almost 8 years ago
Linked from 1 awesome list

caffeimagenetresnetsenet

Backlinks from these awesome lists:

Related projects:

RepositoryDescriptionStars
shicai/densenet-caffeProvides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications.357
shicai/mobilenet-caffeA Caffe implementation of Google's MobileNets, providing pretrained models on ImageNet for image classification tasks1,260
lijianfei06/mnasnet-caffeAn implementation of a deep neural network architecture search method for mobile devices using the Caffe framework.52
lim0606/caffe-googlenet-bnRe-implementation of a neural network model with batch normalization and customized training parameters.131
naibaf7/caffe_neural_toolA C++ interface to the caffe deep learning framework, providing a convenient entry point for developers to build and deploy neural networks.15
debidatta/caffe-parsenetA modified implementation of ParseNet for semantic segmentation with CNNs5
ethanhe42/xception-caffeAn implementation of the Xception neural network in Caffe, a deep learning framework.45
timosaemann/enetA deep neural network architecture for real-time semantic segmentation in images585
lisaanne/lisa-caffe-publicA C++ implementation of the deep learning framework used for rapid prototyping and building of image recognition models.220
forresti/squeezenetProvides pre-trained models and training configurations for a deep neural network architecture optimized for image classification tasks2,181
alexgkendall/caffe-segnetAn open-source implementation of the SegNet deep learning architecture for image segmentation1,080
bruinxiong/senet.mxnetAn implementation of Squeeze-and-Excitation Networks in MXNet for image classification tasks.155
alejandro-isaza/caffeA C++ implementation of a deep learning framework designed for speed and modularity.59
shichenliu/condensenetAn efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity694
wolegechu/shufflenetv2.caffe2An implementation of ShuffleNet V2 as a deep learning model in Caffe2 for computer vision tasks25