Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample 
Objective

Bhattacharyya, Apratim; Fritz, Mario; Schiele, Bernt

doi:10.1109/CVPR.2018.00885

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Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective

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Bhattacharyya, Apratim
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Fritz, Mario
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Schiele, Bernt
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Bhattacharyya, A., Fritz, M., & Schiele, B. (2018). Accurate and Diverse Sampling of Sequences based on a “Best of Many” Sample Objective. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8485-8493). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2018.00885.

Cite as: https://hdl.handle.net/21.11116/0000-0000-CA41-3

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