Object detection with discriminatively trained part-based models

IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedro F FelzenszwalbDeva Ramanan

Abstract

We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-of-the-art results in the PASCAL object detection challenges. While deformable part models have become quite popular, their value had not been demonstrated on difficult benchmarks such as the PASCAL data sets. Our system relies on new methods for discriminative training with partially labeled data. We combine a margin-sensitive approach for data-mining hard negative examples with a formalism we call latent SVM. A latent SVM is a reformulation of MI--SVM in terms of latent variables. A latent SVM is semiconvex, and the training problem becomes convex once latent information is specified for the positive examples. This leads to an iterative training algorithm that alternates between fixing latent values for positive examples and optimizing the latent SVM objective function.

References

Aug 19, 2007·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ariadna QuattoniTrevor Darrell

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Citations

Sep 17, 2013·Neuroinformatics·Jia MengYufei Huang
Apr 21, 2012·Computers in Biology and Medicine·Yinhui DengJinhua Yu
Oct 19, 2011·Proceedings of the National Academy of Sciences of the United States of America·François FleuretDonald Geman
Sep 11, 2013·Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences·Gregory J ZelinskyDimitris Samaras
Dec 11, 2013·Neural Computation·Xinggang WangZhuowen Tu
Mar 7, 2014·Sensors·Xavier Perez-SalaJordi Gonzàlez
Mar 19, 2014·Medical Image Analysis·Yan XuZhuowen Tu
Jun 22, 2014·Computers in Biology and Medicine·Semih Ergin, Onur Kilinc
Sep 23, 2014·Image and Vision Computing·Karan SikkaMarian Stewart Bartlett
Jul 12, 2014·TheScientificWorldJournal·Yu Li-pingAn Zhi-yong
Jan 17, 2016·Computers in Biology and Medicine·Wadim WojciechowskiZbisław Tabor
Nov 7, 2014·Sensors·Nyan Bo BoWilfried Philips
Jan 12, 2016·Sensors·Thi-Hoa-Cuc NguyenFrancisco Florez-Revuelta
Jan 26, 2016·Sensors·Vincent FremontPierrick Letort
Apr 24, 2015·Sensors·J Javier YebesMiguel Ángel García-Garrido
Jul 4, 2015·International Journal of Computer Assisted Radiology and Surgery·Chunliang Wang, Claes Lundström
Dec 11, 2013·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Dilip K Prasad, Michael S Brown
May 31, 2011·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Yinhui DengPing Chen
Jul 23, 2014·IEEE Transactions on Neural Networks and Learning Systems·Xiao LiuChun Chen
Dec 15, 2015·Science·Brenden M LakeJoshua B Tenenbaum
Feb 24, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Ting-Chu LinYu-Chiang Frank Wang
May 15, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Xiao LiuChun Chen
Dec 30, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yang LiuXueqing Li
Jun 19, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Huaizu JiangNanning Zheng
Jun 19, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Zhen-Hua FengXiao-Jun Wu
Dec 11, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yazhou LiuQuansen Sun
Feb 3, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society· Chong WangSteve Maybank
Feb 18, 2016·Proceedings of the National Academy of Sciences of the United States of America·Shimon UllmanDaniel Harari
Sep 10, 2014·IEEE Transactions on Cybernetics·Xiaochun CaoXiaowu Chen
Sep 10, 2014·IEEE Transactions on Cybernetics·Niall McLaughlinPaul Miller
Oct 15, 2011·Microscopy Research and Technique·Gloria Díaz, Eduardo Romero
Sep 5, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Zhiyuan ShiTao Xiang
Sep 5, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yan LuoQi Zhao
Sep 5, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Haroon IdreesMubarak Shah
Sep 4, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Lin ZhaoXuelong Li
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Wanli OuyangXiaogang Wang
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Kevin J ShihDerek Hoiem
Aug 11, 2015·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Fahad Shahbaz KhanAntonio M Lopez
Dec 7, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Joao Carreira, Cristian Sminchisescu
Dec 7, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Congcong LiTsuhan Chen
Dec 7, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Zhangzhang Si, Song-Chun Zhu

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