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stoneyang-detection's Projects

caffe-faster-rcnn icon caffe-faster-rcnn

faster rcnn c++ version. joint train; please checkout into dev branch (git checkout dev)

caffe_ssd icon caffe_ssd

Forked from Wei Liu's repository for SSD and ParseNet. For further information, please respectively refer to the original paper and the repository in README.md

coco icon coco

MS COCO API - http://mscoco.org/

detectron icon detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dsod icon dsod

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

mobilenet-ssd icon mobilenet-ssd

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

objectness icon objectness

BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html

ohem icon ohem

OHEM support for Fast R-CNN

py-faster-rcnn icon py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

rcnn icon rcnn

R-CNN: Regions with Convolutional Neural Network Features

ron icon ron

RON: Reverse Connection with Objectness Prior Networks for Object Detection, CVPR 2017

squeezedet icon squeezedet

A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.

vgg-or-mobilenet-ssd icon vgg-or-mobilenet-ssd

Caffe implementation of Google VGG/MobileNet/ShuffleNet SSD detection network. Ref: (https://github.com/chuanqi305/MobileNet-SSD) (https://github.com/weiliu89/caffe) SSD QQ交流群:581437405

voc-dpm icon voc-dpm

Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.

vocdevkit icon vocdevkit

http://host.robots.ox.ac.uk/pascal/VOC/index.html

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