Corpus ID: 222140975

Vec2Instance: Parameterization for Deep Instance Segmentation

@article{Deshapriya2020Vec2InstancePF,
  title={Vec2Instance: Parameterization for Deep Instance Segmentation},
  author={N. Deshapriya and M. Dailey and M. Hazarika and Hiroyuki Miyazaki},
  journal={ArXiv},
  year={2020},
  volume={abs/2010.02725}
}

• N. Deshapriya, M. Dailey, +1 author Hiroyuki Miyazaki
• Published 2020
• Computer Science, Engineering
• ArXiv

Current advances in deep learning is leading to human-level accuracy in computer vision tasks such as object classification, localization, semantic segmentation, and instance segmentation. In this paper, we describe a new deep convolutional neural network architecture called Vec2Instance for instance segmentation. Vec2Instance provides a framework for parametrization of instances, allowing convolutional neural networks to efficiently estimate the complex shapes of instances around their… Expand

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