Corpus ID: 218901074

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

  title={Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3},
  author={Petr Hurt{\'i}k and Vojtech Molek and Jan Hula and Marek Vajgl and Pavel Vlas{\'a}nek and Tomas Nejezchleba},
We present a new version of YOLO with better performance and extended with instance segmentation called Poly-YOLO. Poly-YOLO builds on the original ideas of YOLOv3 and removes two of its weaknesses: a large amount of rewritten labels and inefficient distribution of anchors. Poly-YOLO reduces the issues by aggregating features from a light SE-Darknet-53 backbone with a hypercolumn technique, using stairstep upsampling, and produces a single scale output with high resolution. In comparison with… Expand
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PolarMask: Single Shot Instance Segmentation With Polar Representation
  • Enze Xie, Pei Sun, +5 authors Ping Luo
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2020
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