You're currently viewing an old version of this dataset. To see the current version, click here.

THUMOS'14, ActivityNet v1.3

Temporal action detection in untrimmed videos via multi-stage cnns, Cdc: convolutional-de-convolutional networks for precise temporal action localization, Temporal action detection with structured segment networks, Cascaded boundary regression for temporal action detection, Temporal convolution based action proposal, Turn tap: Temporal unit regression network for temporal action proposals, Rethinking the faster r-cnn architecture for temporal action localization, ActivityNet: A large-scale video benchmark for human activity understanding, Two-stream convolutional networks for action recognition in videos, Learning spatiotemporal features with 3d convolutional networks, Quo vadis, action recognition? A new model and the kinetics dataset, Compressed video action recognition

Data and Resources

This dataset has no data

Cite this as

Weijie Kong, Nannan Li, Shan Liu, Thomas Li, Ge Li (2024). Dataset: THUMOS'14, ActivityNet v1.3. https://doi.org/10.57702/fqqbjogn

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.1811.02189
Author Weijie Kong
More Authors
Nannan Li
Shan Liu
Thomas Li
Ge Li
Homepage https://www.crcv.ucf.edu/THUMOS14/, https://activitynet.com/