Awesome

segDeepM

Object detection with segmentation and context in deep networks.

Usage

1. Following https://github.com/rbgirshick/rcnn to set up caffe and RCNN;

2. Fine-tune VGG/AlexNet and put the models to data/caffe_nets/ (finetuned model also available at http://www.cs.toronto.edu/~yukun/segdeepm.html)

3. Put pre-computed CPMC masks and corresponding potentials to segDeepM/ and run segDeepM.m;

4. Enjoy :)

citing segDeepM

Please consider citing our segDeepM paper and the original RCNN paper if you use this code for your research.

@inproceedings{ZhuSegDeepM15,
title = {segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection},
author = {Yukun Zhu and Raquel Urtasun and Ruslan Salakhutdinov and Sanja Fidler},
booktitle = {CVPR},
year = {2015}
}

@inproceedings{girshick14CVPR,
    Author = {Girshick, Ross and Donahue, Jeff and Darrell, Trevor and Malik, Jitendra},
    Title = {Rich feature hierarchies for accurate object detection and semantic segmentation},
    Booktitle = {Computer Vision and Pattern Recognition},
    Year = {2014}
}