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.
xR-EgoPose is an egocentric synthetic dataset for egocentric 3D human pose estimation. It consists of ~380 thousand photo-realistic egocentric camera images in a variety of indoor and outdoor spaces.