Object detection using strongly-supervised deformable part models

@inproceedings{Azizpour2012ObjectDU,
  title={Object detection using strongly-supervised deformable part models},
  author={Hossein Azizpour and Ivan Laptev},
  booktitle={ECCV 2012},
  year={2012}
}
Deformable part-based models [1, 2] achieve state-of-the-art performance for object detection, but rely on heuristic initialization during training due to the optimization of non-convex cost function. This paper investigates limitations of such an initialization and extends earlier methods using additional supervision. We explore strong supervision in terms of annotated object parts and use it to (i) improve model initialization, (ii) optimize model structure, and (iii) handle partial… CONTINUE READING
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