chengyuz's repositories

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.

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caffe-cifar10

caffe cifar10test denseNet

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caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

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caffe-mobilenet_v2

caffe based mobilenet v2 deploy

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caffe-model

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

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caffe-model-zoo

caffe pretrained models and prototxt

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caffe-reid

A Discriminatively Learned CNN Embedding for Person Re-identification, TOMM 2018

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caffe_s3fd

caffe for s3fd face detection

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cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

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DAVSOD

Shifting More Attention to Video Salient Objection Detection, CVPR, 2019, Oral

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DenseNet-Caffe

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

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Easy-LAB

Look at Boundary: A Boundary-Aware Face Alignment Algorithm

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fddb-windows

evaluating fddb on Windows

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gitignore

A collection of useful .gitignore templates

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libfacedetection

An open source library for face detection in images. The face detection speed can reach 1500FPS.

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MobileNet-Caffe

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

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MobileNet-SSD

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

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MobileNet-v2-caffe

MobileNet-v2 experimental network description for caffe

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models

Model configurations

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mtcnn-caffe

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

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RefineDet

Single-Shot Refinement Neural Network for Object Detection, CVPR, 2018

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ResNet-18-Caffemodel-on-ImageNet

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

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resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

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Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

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ShuffleNet

This is a fast caffe implementation of ShuffleNet.

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ShuffleNet-2

This is a caffe implementation of ShuffleNet model

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SqueezeNet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

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Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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vision

Datasets, Transforms and Models specific to Computer Vision

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