Multi-View Self-Constructing Graph Convolutional Networks With Adaptive Class Weighting Loss for Semantic Segmentation

Publication details

• Part of: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020 (IEEE, 2020)
• Pages: 199–205–7
• Year: 2020
• Links:
  • ARKIV: hdl.handle.net/11250/2732846
  • OMTALE: openaccess.thecvf.com/content_CVPRW_2020/html/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.html
  • FULLTEKST: openaccess.thecvf.com/content_CVPRW_2020/papers/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.pdf
  • SAMMENDRAG: openaccess.thecvf.com/content_CVPRW_2020/html/w5/Liu_Multi-View_Self-Constructing_Graph_Convolutional_Networks_With_Adaptive_Class_Weighting_Loss_CVPRW_2020_paper.html
  • DATA: github.com/samleoqh/MSCG-Net
  • PROSJEKT: github.com/samleoqh/MSCG-Net
  • DOI: doi.org/10.1109/CVPRW50498.2020.00030