Boosting Object Proposals – From Pascal to COCO

The majority of the code can be obtained from the Github project page, as described in this webpage and in the accompanying publication:

Jordi Pont-Tuset and Luc Van Gool
Boosting Object Proposals: From Pascal to COCO
International Conference on Computer Vision (ICCV) 2015
[PDF] [BibTex]

@inproceedings{PTVG2015,
  author = {Pont-Tuset, J. and Van Gool, L.},
  title = {Boosting Object Proposals: From Pascal to COCO},
  booktitle = {International Conference on Computer Vision},
  year = {2015}
}

The benchmark of object proposal techniques is based on the MCG Benchmark toolbox, as described in:

Jordi Pont-Tuset*, Pablo Arbelaez*, Jonathan T. Barron, Ferran Marques, Jitendra Malik
Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation
Pattern Analysis and Machine Intelligence (PAMI), 2016
[Project Page] [arXiv] [BibTeX]

@article{PABMM2015,
  author = {Pont-Tuset, J. and Arbel\'{a}ez, P. and Barron, J. and Marques, F. and Malik, J.},
  title = {Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation},
  journal = {Pattern Analysis and Machine Intelligence (PAMI)},
  year = {2016}
}

Please cite the corresponding papers if you use the code.

You can also browse the pre-computed results to compare to all the state-of-the-art techniques analyzed in this work.

Code

Packages to reproduce this work