OFA Large

Reported on 4 benchmarks across 2 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Visual Question Answering (VQA)onWHOOPS!
BEM· 2023-03-13
38
best: 57 (BLIP2 FlanT5-XXL (Fine-tuned))
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images arXiv:2303.07274
Visual Question Answering (VQA)onWHOOPS!
Exact Match· 2023-03-13
8
best: 21 (BLIP2 FlanT5-XXL (Fine-tuned))
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images arXiv:2303.07274
Image CaptioningonWHOOPS!
BLEU-4
0
best: 42 (BLIP2 FlanT5-XXL (Fine-tuned))
Image CaptioningonWHOOPS!
CIDEr
0
best: 177 (BLIP2 FlanT5-XXL (Fine-tuned))