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Generative Action-description Prompts for Skeleton-based Action Recognition
Skeleton-based action recognition has recently received considerable attention. Current approaches to skeleton-based action recognition are typically formulated as one-hot... -
Kinetics Skeleton 400
Kinetics Skeleton 400 is a dataset adapted from the Kinetics 400 video dataset using the OpenPose toolbox in 2D keypoint modality. -
Balanced Representation Learning for Long-tailed Skeleton-based Action Recogn...
Skeleton-based action recognition has recently made significant progress. However, data imbalance is still a great challenge in real-world scenarios. The performance of current... -
UTD-MHAD dataset
UTD-MHAD dataset for human action recognition -
InfActPrimitive
InfActPrimitive dataset is a benchmark for infant action recognition, containing five significant infant milestone action categories. -
AID dataset
The AID dataset is a benchmark for scene classification in remote sensing. It contains aerial images with 30 scene types. -
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
Skeleton-based action recognition, which classifies human actions based on the coordinates of joints and their connectivity within skeleton data. -
SkelVit: Consensus of Vision Transformers for a Lightweight Skeleton-Based Ac...
Skeleton-based action recognition receives the attention of many researchers as it is robust to viewpoint and illumination changes, and its processing is much more efficient than... -
Northwestern-UCLA
Skeleton-based action recognition has attracted considerable attention due to its compact representation of the human body’s skeletal structure. Many recent methods have... -
MSR-Action3D
The MSR-Action3D dataset has been first introduced with a depth-based approach, but its joint streams were widely used later as a reference for joint-based methods.
