66 datasets found

RGB-D action and gesture recognition remains an interesting topic in human-centered scene understanding, primarily due to the multiple granularities and large variation in human...

Recognizing person in UAV images faces two main challenges: significant size difference and uncertain rotation variations.

The dataset used in the paper for self-supervised learning of video representations.

Four datasets are relevant for our study: HMDB51, UCF101, Kinetics-400, and IG65M.

The Sports1M dataset contains 1 million sports videos, with 500K training videos and 500K validation videos.

Real-time intelligent detection and prediction of subjects' behavior particularly their movements or actions is critical in the ward.

STCDA dataset is used for action recognition.

Action recognition is a key technology for many industrial applications. Methods using visual information such as images are very popular. However, privacy issues prevent...

A dataset of real videos for action categorization, including HMDB-51 and UCF-101.

The kinetics human action video dataset.

The Every Moment Counts dataset contains 1,000 hours of video footage of various activities.

The Hollywood in Homes dataset contains 9,848 videos of daily activities across 157 classes.

The THUMOS Challenge dataset contains 413 sports videos of 65 classes.

Propose an action recognition framework using Generative Adversarial Networks. Our model involves training a deep convolutional generative adversarial network (DCGAN) using a...

UCF-101 dataset is a large-scale action recognition dataset, containing 13,320 videos categorized into 101 human action categories.

The Jester dataset is of continuous jokes ratings from -10 to 10, containing the jokes’ texts.

The MUSES dataset is a collection of 3,697 videos, with 2,587 for training and 1,110 for testing.

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...

Video classification is a fundamental problem in many video-based tasks. Applications such as autonomous driving technology, controlling drones and robots are driving the demand...

Mini-Kinetics-200: A dataset of 200 human action classes from videos in the wild.