Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of
its variants. We use variants to distinguish between results evaluated on
slightly different versions of the same dataset. For example, ImageNet 32⨉32
and ImageNet 64⨉64 are variants of the ImageNet dataset.
NTU RGB+D 2D is a curated version of NTU RGB+D often used for skeleton-based action prediction and synthesis. It contains less number of actions.