LSTM + global features
Reported on 2 benchmarks across 1 task · 1 paper
Note: results are matched by exact model name. Different papers may use the same name for different model variants.
Natural Language Processing2 results
- Percentage correct· 2015-05-0369.21best: 74.37 (Graph VQA)
- Visual Question Answering (VQA)onCOCO Visual Question Answering (VQA) abstract images 1.0 open endedPercentage correct· 2015-05-0365.02best: 70.42 (Graph VQA)