Showing posts with the label multiclass sharing

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…

learning to "borrow" examples for object detection. Lim et al, NIPS 2011

Let's say you want to train a cat detector...  If you're anything like me, then you probabl…

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