A Seismic Shift in Object Detection

pdollar

Object detection has undergone a dramatic and fundamental shift. I’m not talking about deep learning here – deep learning is really more about classification and specifically about feature learning. Feature learning has begun to play and will continue to play a critical role in machine vision. Arguably in a few years we’ll have a diversity of approaches for learning rich features hierarchies from large amounts of data; it’s a fascinating topic. However, as I said, this post is not about deep learning.

Rather, perhaps an even more fundamental shift has occurred in object detection: the recent crop of top detection algorithms abandons sliding windows in favor of segmentation in the detection pipeline. Yes, you heard right, segmentation!

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First some evidence for my claim. Arguably the three top performing object detection systems as of the date of this post (12/2013) are the following:

  1. Segmentation as Selective Search++ (UvA-Euvision)
  2. Regionlets…

View original post 654 more words

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