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.
FINO-Net is a multimodal (RGB, depth and audio) dataset, containing 229 real-world manipulation data of 5 different manipulation types recorded with a Baxter robot.