F-VQA (top-3-QQmaping)

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

Visual Question Answering (VQA)onF-VQA
Top-1 Accuracy· 2016-06-17
56.91
best: 58.27 (ZS-F-VQA)
SOTA
FVQA: Fact-based Visual Question Answering arXiv:1606.05433
Visual Question Answering (VQA)onF-VQA
Top-3 Accuracy· 2016-06-17
64.65
best: 76.51 (ZS-F-VQA)
SOTA
FVQA: Fact-based Visual Question Answering arXiv:1606.05433