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

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

DOI retrieved: December 16, 2024

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/