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.
We established a 3D evaluation benchmark, 3D MM-Vet, severing as assessing the 4-level capacity in embodied interaction scenarios, varying from basic perception to control statements generation.