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ActivityNet

Temporal activity detection has drawn increasing interests in both academic and industry communities due to its vast potential applications in security surveillance, behavior analytics, videography and so on.

Data and Resources

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Cite this as

Fabian Caba Heilbron, Victor Escorcia, Bernard Ghanem, Juan Carlos Niebles (2024). Dataset: ActivityNet. https://doi.org/10.57702/y1vskl5d

DOI retrieved: November 25, 2024

Additional Info

Field Value
Created November 25, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1703.02716
Citation
  • https://doi.org/10.48550/arXiv.1707.00251
  • https://doi.org/10.48550/arXiv.2305.18418
  • https://doi.org/10.48550/arXiv.2211.09992
  • https://doi.org/10.48550/arXiv.2106.05970
  • https://doi.org/10.48550/arXiv.1801.09184
  • https://doi.org/10.48550/arXiv.1808.02536
  • https://doi.org/10.48550/arXiv.2009.14661
  • https://doi.org/10.48550/arXiv.2201.04388
  • https://doi.org/10.48550/arXiv.2107.12589
  • https://doi.org/10.48550/arXiv.1712.02310
  • https://doi.org/10.48550/arXiv.2003.10606
  • https://doi.org/10.48550/arXiv.1706.05150
Author Fabian Caba Heilbron
More Authors
Victor Escorcia
Bernard Ghanem
Juan Carlos Niebles
Homepage https://activitynet.com/