BEVDiffuser is a novel diffusion model that effectively denoises BEV feature maps using the ground-truth object layout as guidance. BEVDiffuser can be operated in a plug-and-play manner during training time to enhance existing BEV models during without modifying architectures or adding computational overhead at inference. Arxiv.
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Published in Journal 1, 2009
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Published in Journal 1, 2010
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Published in Journal 1, 2015
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Published in GitHub Journal of Bugs, 2024
This paper is about fixing template issue #693.
Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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