Publication

Leveraging Self-Supervision for Cross-Domain Crowd Counting

Pascal Fua, Weizhe Liu, Nikita Durasov
2022
Conference Papers

Abstract

State-of-the-art methods for counting people in crowded scenes rely on deep networks to estimate crowd density. While effective, these data-driven approaches rely on large amount of data annotation to achieve good performance, which stops these models from being deployed in emergencies during which data annotation is either too costly or cannot be obtained fast enough.

Official source

https://infoscience.epfl.ch/entities/publication/20b369c5-48e5-4e1a-8eff-cc97b7b6a53c

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Leveraging Self-Supervision for Cross-Domain Crowd Counting

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