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Knowledge transfer and human-machine collaboration for training object class detector

Object class detection is a central area of computer vision. It requires recognizing and localizing all objects of predefined set of classes in an image. Detectors are usually trained under full supervision, which requires manually drawing object bounding-boxes in a large number of training images. This is tedious and very time consuming.  In this talk I will present two recent techniques for reducing this effort. In the first part I will explore a knowledge transfer scenario: training object detectors for target ...
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