Asset Details
- Identifier:
- 489423_1_En_22_Fig1_HTML
- 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 Title:
- Occluded Object Recognition - Graph-Boosted Attentive Network for Semantic Body Parsing
- 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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