MultiTHUMOS

doi:doi:10.57702/a8vlyrhc

MultiTHUMOS

Temporal action localization (TAL) is a prevailing task due to its great application potential. Existing works in this field mainly suffer from two weaknesses: (1) They often neglect the multi-label case and only focus on temporal modeling. (2) They ignore the semantic information in class labels and only use the visual information.

BibTex:

@dataset{Dima_Damen_and_Hazel_Doughty_and_Giovanni_Maria_Farinella_and_Antonino_Furnari_and_Evangelos_Kazakos_and_Jian_Ma_and_Davide_Moltisanti_and_Jonathan_Munro_and_Toby_Perrett_and_Will_Price_2024,
    abstract = {Temporal action localization (TAL) is a prevailing task due to its great application potential. Existing works in this field mainly suffer from two weaknesses: (1) They often neglect the multi-label case and only focus on temporal modeling. (2) They ignore the semantic information in class labels and only use the visual information.},
    author = {Dima Damen and Hazel Doughty and Giovanni Maria Farinella and Antonino Furnari and Evangelos Kazakos and Jian Ma and Davide Moltisanti and Jonathan Munro and Toby Perrett and Will Price},
    doi = {10.57702/a8vlyrhc},
    institution = {No Organization},
    keyword = {'Action Recognition', 'Multi-Label Action Detection', 'Multi-Label Case', 'Semantic Information', 'Temporal Action Localization', 'Video Analysis'},
    month = {dec},
    publisher = {TIB},
    title = {MultiTHUMOS},
    url = {https://service.tib.eu/ldmservice/dataset/multithumos},
    year = {2024}
}