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Conference Paper

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach

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Abbas,  Ahmed
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Swoboda,  Paul
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society;

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Abbas, A., & Swoboda, P. (2021). Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach. In M. Ranzato, A. Beygelzimer, P. S. Liang, J. W. Vaughan, & Y. Dauphin (Eds.), Advances in Neural Information Processing Systems 34 pre-proceedings. Curran Associates, Inc.


Cite as: https://hdl.handle.net/21.11116/0000-0009-B3DC-5
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