Using Segmentation to Predict the Absence of Occluded Parts

  title={Using Segmentation to Predict the Absence of Occluded Parts},
  author={Golnaz Ghiasi and Charless C. Fowlkes},
Occlusion poses a significant difficulty for detecting and localizing object keypoints and subsequent fine-grained identification. We propose a part-based face detection model that utilizes bottom-up class-specific segmentation in order to jointly detect and segment out the foreground pixels belonging to the face. The model explicitly represents occlusion of parts at the detection phase, allowing for hypothesized figure-ground segmentation to suggest coherent patterns of part occlusion. We show… CONTINUE READING

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