Showing posts with the label parts

One Part Basis to Rule them All: Steerable Part Models

Last week, some of us vision hackers at MIT started an Object Recognition Reading Group.  The group…

scene recognition with part-based models at ICCV 2011

Today, I wanted to point everyone's attention to a super-cool paper from day 1 of this year'…

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