X-101 grid features + MCAN

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

Visual Question Answering (VQA)onVQA v2 test-dev
Accuracy· 2020-01-10
72.59
best: 84.3 (PaLI)
In Defense of Grid Features for Visual Question Answering arXiv:2001.03615
Visual Question Answering (VQA)onVQA v2 test-std
overall· 2020-01-10
72.71
best: 84.03 (BEiT-3)
In Defense of Grid Features for Visual Question Answering arXiv:2001.03615