Repository for storing models and weights generated using caffe-jacinto

A real-time object detection framework of Yolov3/v4 based on caffe

Caffe designed for Deep Context Features

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

MobileNetV1_SSD Caffe with OpenCV on RaspBerry Pi

U-Net with upsampling layer under caffe

Object detection, 3D detection, and pose estimation using center point detection:

unofficial libyuv mirror

A caffe implementation of MobileNet-YOLO detection network

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

This file is caffe type of resnet18,including resnet18.prototxt and resnet18-deploy.prototxt

RK3399 Pro NPU support for Caffe SSD detector

Caffe Implementation of MobileNets V3

MobileNetV3 in pytorch and ImageNet pretrained models

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).

A mxnet Implementation of Mnasnet with Pretrained Model

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

A Caffe Re-Implementation of SENet

Caffe Implementation of Google's MobileNets (v1 and v2)

The realization of yolov3 target detection based on Caffe and the optimization of target detection effect based on klaman multi-target tracking(base on caffe)

Comparison of famous convolutional neural network models

a Python 2 Harris Corner Detector

A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

ResNet-18 Caffemodel @ilsvrc12 shrt 256 with Top-1 69% Top-5 89%

caffe pretrained models and prototxt