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Ensemble of Exemplar-SVMs for Object Detection and Beyond http://www.cs.cmu.edu/~tmalisie/projects/iccv11/index.html
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VOCcode
demos
features
followup
gps
iccv11
images
libsvm-mat-3.0-1
memex_browser
scripts
util
video
.gitignore
README.md
apply_all_exemplars.m
do_dfun.m
do_svm.m
exemplar_initialize.m
generate_docs.m
get_default_mining_params.m
get_default_mining_params_scene.m
get_pascal_anno_function.m
get_pascal_stream.m
initialize_fixedframe_model.m
initialize_goalsize_model.m
load_all_models.m
load_result_grid.m
load_voc_models.m
localizemeHOG.m
mine_negatives.m
mine_train_iteration.m
show_exemplar_frames.m
train_all_exemplars.m

README.md

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ExemplarSVM readme
![](https://github.com/quantombone/exemplarsvm/raw/master/images/exemplar_classifiers-small_n.png)
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Author + Executive Exemplar-SVM Developer: Tomasz Malisiewicz http://www.cs.cmu.edu/~tmalisie/

Exemplar-SVM Fellow Developer: Abhinav Shrivastava http://www.abhinav-shrivastava.info/

Exemplar-SVM Visionary: Alexei A. Efros http://www.cs.cmu.edu/~efros

Exemplar-SVM Visionary: Abhinav Gupta http://www.cs.cmu.edu/~abhinavg


Cite the following paper if you use this library:

Tomasz Malisiewicz, Abhinav Gupta, Alexei A. Efros. Ensemble of Exemplar-SVMs for Object Detection and Beyond. In ICCV 2011.

Project page:

http://www.cs.cmu.edu/~tmalisie/projects/iccv11/

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This object recognition library is a combination of:
libsvm-3.0-1,
fast blas convolution code (from voc-release-4.0), 
hog code (from voc-release-3.1), 
localization within a pyramid code (my variant of pedro's code from voc-release-3.1),
VOC development code from http://pascallin.ecs.soton.ac.uk/challenges/VOC/

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Installation of PASCAL VOC Object Recognition Dataset Go to http://pascallin.ecs.soton.ac.uk/challenges/VOC/ for more information

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