Omni-Realm Benchmark (OmniBenchmark) is a diverse (21 semantic realm-wise datasets) and concise (realm-wise datasets have no concepts overlapping) benchmark for evaluating pre-trained model generalization across semantic super-concepts/realms, e.g. across mammals to aircraft.
[ECCV2022]
Variants: OmniBenchmark
This dataset is used in 1 benchmark:
Recent papers with results on this dataset: