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deepmodel's Projects

caffe icon caffe

Caffe fork that supports SPP_net or faster R-CNN

crfasrnn icon crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

deep_ocr icon deep_ocr

make a better chinese character recognition OCR than tesseract

deepbox icon deepbox

Code release for DeepBox paper in ICCV 2015

flownet2 icon flownet2

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

goturn icon goturn

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

mnc icon mnc

Instance-aware Semantic Segmentation via Multi-task Network Cascades

openpose icon openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

py-faster-rcnn icon py-faster-rcnn

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

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

squeezenet icon squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

t-cnn icon t-cnn

ImageNet 2015 Object Detection from Video (VID)

ted-rnn icon ted-rnn

A Recurrent Neural Network trained on all existing TED Talk Transcripts. The model outputs machine generated TED Talks.

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