ActivityNet

doi:doi:10.57702/y1vskl5d

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.

BibTex:

@dataset{Fabian_Caba_Heilbron_and_Victor_Escorcia_and_Bernard_Ghanem_and_Juan_Carlos_Niebles_2024,
    abstract = {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.},
    author = {Fabian Caba Heilbron and Victor Escorcia and Bernard Ghanem and Juan Carlos Niebles},
    doi = {10.57702/y1vskl5d},
    institution = {No Organization},
    keyword = {'Action Detection', 'Action Recognition', 'ActivityNet', 'Commonsense Natural Language Inference', 'Human Activity', 'Human Activity Detection', 'Human Activity Understanding', 'Open-Ended Text Generation', 'Video Analysis', 'Video Benchmark', 'action recognition', 'activity detection', 'continual learning', 'human activity', 'human activity understanding', 'large-scale video benchmark', 'temporal activity detection', 'understanding', 'untrimmed videos', 'video action recognition', 'video benchmark', 'video dataset', 'video recognition'},
    month = {nov},
    publisher = {TIB},
    title = {ActivityNet},
    url = {https://service.tib.eu/ldmservice/dataset/activitynet},
    year = {2024}
}