2D-Pose Based Human Body Segmentation for Weakly-Supervised Concealed Object Detection in Backscatter Millimeter-Wave Images

Lawrence Amadi, Gady Agam. 2D-Pose Based Human Body Segmentation for Weakly-Supervised Concealed Object Detection in Backscatter Millimeter-Wave Images. In Jean-Jacques Rousseau, Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I. Volume 13643 of Lecture Notes in Computer Science, pages 124-138, Springer, 2022. [doi]

@inproceedings{AmadiA22-0,
  title = {2D-Pose Based Human Body Segmentation for Weakly-Supervised Concealed Object Detection in Backscatter Millimeter-Wave Images},
  author = {Lawrence Amadi and Gady Agam},
  year = {2022},
  doi = {10.1007/978-3-031-37660-3_9},
  url = {https://doi.org/10.1007/978-3-031-37660-3_9},
  researchr = {https://researchr.org/publication/AmadiA22-0},
  cites = {0},
  citedby = {0},
  pages = {124-138},
  booktitle = {Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges - Montreal, QC, Canada, August 21-25, 2022, Proceedings, Part I},
  editor = {Jean-Jacques Rousseau and Bill Kapralos},
  volume = {13643},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-37660-3},
}