LXMERT (Pre-train + scratch)
Reported on 3 benchmarks across 2 tasks · 1 paper · 1 SOTA
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Accuracy· 2019-08-2060best: 72.1 (CFR)
- Accuracy· 2019-08-2069.9best: 84.3 (PaLI)
Reasoning1 result
- Accuracy· 2019-08-20SOTA74.9best: 91.51 (BEiT-3)