BERT_LARGE_SQUAD_DOCVQA_FINETUNED_Baseline

Reported on 2 benchmarks across 1 task · 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

Visual Question Answering (VQA)onDocVQA test
Accuracy· uses extra data· 2020-07-01
55.77
SOTA
DocVQA: A Dataset for VQA on Document Images arXiv:2007.00398
Visual Question Answering (VQA)onDocVQA test
ANLS· uses extra data· 2020-07-01
0.665
best: 0.9436 (Human)
DocVQA: A Dataset for VQA on Document Images arXiv:2007.00398