@inproceedings{cinbis:hal-00873134, AUTHOR = {Cinbis, Ramazan Gokberk and Verbeek, Jakob and Schmid, Cordelia}, TITLE = {{Segmentation Driven Object Detection with Fisher Vectors}}, BOOKTITLE = {{ICCV 2013 - IEEE International Conference on Computer Vision}}, YEAR = {2013}, MONTH = Dec, PUBLISHER = {IEEE}, KEYWORDS = {object detection, fisher vectors}, ADDRESS = {Sydney, Australia}, URL = {http://hal.inria.fr/hal-00873134} }The paper is available here. It is applied by default on the Pascal VOC detection challenge.
The code works on data from the Pascal dataset, re-packaged here: maskfishdet_1.1_data.tgz.
You will need a powerful Linux machine with a lot of RAM and disk space, and a Matlab license.
Input image | ||||||
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A segment from UVA | ||||||
Our mask | ||||||
application of mask |