Search Results for author: Mark Segal

Found 1 papers, 0 papers with code

Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

no code implementations CVPR 2013 Thomas Dean, Mark A. Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

Many object detection systems are constrained by the time required to convolve a target image with a bank of filters that code for different aspects of an object's appearance, such as the presence of component parts.

object-detection Object Detection

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