LayoutLMv2LARGE

Reported on 5 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Natural Language Processing5 results

Semantic entity labelingonFUNSD
F1· 2020-12-29
84.2
best: 93.2 (LayoutMask (large))
SOTA
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding arXiv:2012.14740
Key Information ExtractiononCORD
F1· 2020-12-29
96.01
best: 98.52 (RORE (GeoLayoutLM))
SOTA
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding arXiv:2012.14740
Key Information ExtractiononKleister NDA
F1· 2020-12-29
85.2
SOTA
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding arXiv:2012.14740
Visual Question Answering (VQA)onDocVQA test
ANLS· 2020-12-29
0.8672
best: 0.9436 (Human)
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding arXiv:2012.14740
Key Information ExtractiononSROIE
F1· 2020-12-29
96.61
best: 97.81 (LayoutLMv2LARGE (Excluding OCR mismatch))
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding arXiv:2012.14740