ITP: Image Transformation Pursuit
The ITP algorithm is designed to select a small set of transformation to apply to an image classification dataset, to maximize the gain in accuracy This code is a reimplementation of the one used for the following paper: Transformation Pursuit for Image Classification Mattis Paulin, Jerome Revaud, Zaid Harchaoui, Florent Perronnin and Cordelia Schmid, CVPR 2014. Dependencies To make this code work
BING: Binarized Normed Gradients for Objectness Estimation at 300fps
Ming-Ming Cheng1      Ziming Zhang2    Wen-Yan Lin3      Philip Torr1 1The University of Oxford    2Boston University    3Brookes Vision Group Abstract Training a generic objectness measure to produce a small set of candidate object windows, has been shown to speed up the classical sliding window object detection paradigm. We observe that generic objects with well-defined closed b
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