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Found 6 papers, 4 papers with code
Action Class Relation Detection and Classification Across Multiple Video Datasets
The Meta Video Dataset (MetaVD) provides annotated relations between action classes in major datasets for human action recognition in videos.
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
Barlow Twins and VICReg are self-supervised representation learning models that use regularizers to decorrelate features.
MetaVD: A Meta Video Dataset for enhancing human action recognition datasets
To realize this solution, we constructed a meta video dataset from the existing datasets for human action recognition, referred to as MetaVD.
Video Caption Dataset for Describing Human Actions in Japanese
Each caption in our dataset describes a video in the form of "who does what and where."
STAIR Actions: A Video Dataset of Everyday Home Actions
A new large-scale video dataset for human action recognition, called STAIR Actions is introduced.
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset
In recent years, automatic generation of image descriptions (captions), that is, image captioning, has attracted a great deal of attention.
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