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Object Detection with Discriminatively Trained Part Based Models

Object Detection with Discriminatively Trained Part Based Models. Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan. IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 9, pp. 1627-1645, September 2010. Overview. Motivation Introduction

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Highlights Learning-based local features that replace and surpass HOG.

Histograms of Sparse Codes for Object Detection. Xiaofeng Ren (Amazon, formerly Intel Labs) and Deva Ramanan (University of California, Irvine). Highlights Learning-based local features that replace and surpass HOG.

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Object Detection with Discriminatively Trained Part Based Models

Highlights Learning-based local features that replace and surpass HOG.