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Found 3 papers, 0 papers with code
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
Scene graph generation (SGG) is an important task in image understanding because it represents the relationships between objects in an image as a graph structure, making it possible to understand the semantic relationships between objects intuitively.
Cross-Modal Learning with 3D Deformable Attention for Action Recognition
The 3D deformable transformer consists of three attention modules: 3D deformability, local joint stride, and temporal stride attention.
Ranked #8 on
Action Recognition
on NTU RGB+D
STAR-Transformer: A Spatio-temporal Cross Attention Transformer for Human Action Recognition
In action recognition, although the combination of spatio-temporal videos and skeleton features can improve the recognition performance, a separate model and balancing feature representation for cross-modal data are required.
Ranked #1 on
Action Recognition
on Penn Action
