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.
CPNet dataset has a collection of 25 categories, 2,334 models based on ShapeNetCore, which includes 1,000+ correspondence sets with 104,861 points.