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Found 2 papers, 1 papers with code
Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection
We propose a method that augments a simulated dataset using diffusion models to improve the performance of pedestrian detection in real-world data.
Multiscale Crowd Counting and Localization By Multitask Point Supervision
As the detection and localization tasks are well-correlated and can be jointly tackled, our model benefits from a multitask solution by learning multiscale representations of encoded crowd images, and subsequently fusing them.
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