MSR + MS Cog. Svcs., X10 models

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

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

Natural Language Processing4 results

Visual Question Answering (VQA)onVQA v2 test-std
number· 2021-01-02
62.55
best: 72.24 (ONE-PEACE)
SOTA
VinVL: Revisiting Visual Representations in Vision-Language Models arXiv:2101.00529
Visual Question Answering (VQA)onVQA v2 test-std
other· 2021-01-02
67.87
best: 77.02 (mPLUG-Huge)
SOTA
VinVL: Revisiting Visual Representations in Vision-Language Models arXiv:2101.00529
Visual Question Answering (VQA)onVQA v2 test-std
overall· 2021-01-02
77.45
best: 84.03 (BEiT-3)
SOTA
VinVL: Revisiting Visual Representations in Vision-Language Models arXiv:2101.00529
Visual Question Answering (VQA)onVQA v2 test-std
yes/no· 2021-01-02
92.38
best: 94.85 (ONE-PEACE)
SOTA
VinVL: Revisiting Visual Representations in Vision-Language Models arXiv:2101.00529