RAU (ResNet)

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)onVQA v1 test-std
Accuracy· 2016-06-12
63.2
best: 64.6 (SAAA (ResNet))
SOTA
Training Recurrent Answering Units with Joint Loss Minimization for VQA arXiv:1606.03647
Visual Question Answering (VQA)onVQA v1 test-dev
Accuracy· 2016-06-12
63.3
best: 64.5 (SAAA (ResNet))
Training Recurrent Answering Units with Joint Loss Minimization for VQA arXiv:1606.03647