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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
37.03
best: 89.3 (human)
Visual Question Answering (VQA)onGQA Test2019
Binary
56.61
best: 91.2 (human)
Visual Question Answering (VQA)onGQA Test2019
Consistency
63.96
best: 98.4 (human)
Visual Question Answering (VQA)onGQA Test2019
Distribution
28.4
best: 93.08 (GlobalPrior)
Visual Question Answering (VQA)onGQA Test2019
Open
19.74
best: 87.4 (human)
Visual Question Answering (VQA)onGQA Test2019
Plausibility
85.12
best: 97.2 (human)
Visual Question Answering (VQA)onGQA Test2019
Validity
95.76
best: 98.9 (human)