PReFIL

Reported on 3 benchmarks across 1 task · 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 Processing3 results

Visual Question Answering (VQA)onPlotQA-D1
1:1 Accuracy· 2019-08-05
57.91
best: 93.94 (MatCha4096 + LaMenDa)
SOTA
Answering Questions about Data Visualizations using Efficient Bimodal Fusion arXiv:1908.01801
Visual Question Answering (VQA)onPlotQA-D2
1:1 Accuracy· 2019-08-05
10.37
best: 91.84 (MatCha4096 + LaMenDa)
SOTA
Answering Questions about Data Visualizations using Efficient Bimodal Fusion arXiv:1908.01801
Visual Question Answering (VQA)onFigureQA - test 1
1:1 Accuracy· 2019-08-05
94.88
SOTA
Answering Questions about Data Visualizations using Efficient Bimodal Fusion arXiv:1908.01801