ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors

@article{Kuo2019ShapeMaskLT,
  title={ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors},
  author={Weicheng Kuo and Anelia Angelova and Jitendra Malik and Tsung-Yi Lin},
  journal={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
  year={2019},
  pages={9206-9215}
}
Instance segmentation aims to detect and segment individual objects in a scene. [] Key Method ShapeMask starts with a bounding box detection and gradually refines it by first estimating the shape of the detected object through a collection of shape priors. Next, ShapeMask refines the coarse shape into an instance level mask by learning instance embeddings. The shape priors provide a strong cue for object-like prediction, and the instance embeddings model the instance specific appearance information…

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