CNN + LSTM + RN + HAN

Reported on 1 benchmark 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 Processing1 result

Visual Question Answering (VQA)onCLEVR
Accuracy· 2018-08-01
98.8
best: 99.8 (NS-VQA (1K programs))
Learning Visual Question Answering by Bootstrapping Hard Attention arXiv:1808.00300