Asset Details

  • Description:
  • Illustration of the proposed network architecture. (Color figure online)
  • License:
  • Rights Managed
  • Rights Holder:
  • Springer Nature
  • License Rights Holder:
  • © Springer Nature Switzerland AG 2019© Springer Nature Switzerland AG 2019
  • Asset Type:
  • Image
  • Asset Subtype:
  • Figure
  • Image Orientation:
  • Landscape
  • Image Dimensions:
  • 1388 x 1050
  • Image File Size:
  • 292 KB
  • Creator:
  • Gerhard Goos, Juris Hartmanis, Elisa Bertino, Wen Gao, Bernhard Steffen, Gerhard Woeginger, Moti Yung, Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis, Tinghuai Wang, Huiling Wang
  • Credit:
  • Goos, G., Hartmanis, J., Bertino, E., Gao, W., Steffen, B., Woeginger, G., Yung, M., Tetko, I. V., Kůrková, V., Karpov, P., Theis, F., Wang, T., & Wang, H. (2019). Occluded Object Recognition - Graph-Boosted Attentive Network for Semantic Body Parsing. Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, 267-280. https://doi.org/10.1007/978-3-030-30508-6.
  • Collection:
  • Keywords:
  • Restrictions:
  • Property Release:
  • No
  • Model Release:
  • No
  • Purchasable:
  • Yes
  • Sensitive Materials:
  • No
  • Article Authors:
  • Gerhard Goos, Juris Hartmanis, Elisa Bertino, Wen Gao, Bernhard Steffen, Gerhard Woeginger, Moti Yung, Igor V. Tetko, Věra Kůrková, Pavel Karpov, Fabian Theis, Tinghuai Wang, Huiling Wang
  • Article Copyright Year:
  • 2019
  • Publication Volume:
  • Publication Issue:
  • Publication Date:
  • 09/09/2019
  • DOI:
  • https://doi.org/10.1007/978-3-030-30508-6

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