Ken Tanabe's repositories
caffe-model
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
intel-caffe
This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.
MobilenetV3-Caffe
From pytorch-mobilenetv3 to caffe
mobilenetv3.pytorch
74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet
nutonomy_pointpillars
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
opencv
Open Source Computer Vision Library
RefineDet
Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018
second.pytorch
PointPillars for KITTI object detection
SENet
Squeeze-and-Excitation Networks
SparseConvNet
Submanifold sparse convolutional networks
ssd-caffe
Caffe: a fast open framework for deep learning.
synopsys-caffe
Additions and patches to Caffe framework for use with Synopsys DesignWare EV6x Processors