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.
CCGR (Cross-Covariate Gait Recognition), the first gait dataset for studying cross-covariate challenges, contains 970 subjects, approximately 1.6 million sequences, 53 covariates, and 33 views.