CNN+GRU+FiLM
Reported on 2 benchmarks across 1 task · 1 paper · 2 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· 2017-09-22SOTA97.7best: 99.8 (NS-VQA (1K programs))
- Accuracy· 2017-09-22SOTA75.9best: 81.7 (MDETR)