GlobalPrior

Reported on 7 benchmarks across 1 task

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing7 results

Visual Question Answering (VQA)onGQA Test2019
Accuracy
28.9
best: 89.3 (human)
Visual Question Answering (VQA)onGQA Test2019
Binary
42.94
best: 91.2 (human)
Visual Question Answering (VQA)onGQA Test2019
Consistency
51.69
best: 98.4 (human)
Visual Question Answering (VQA)onGQA Test2019
Distribution
93.08
Visual Question Answering (VQA)onGQA Test2019
Open
16.62
best: 87.4 (human)
Visual Question Answering (VQA)onGQA Test2019
Plausibility
74.81
best: 97.2 (human)
Visual Question Answering (VQA)onGQA Test2019
Validity
88.86
best: 98.9 (human)