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Models/UNITER (Large)

UNITER (Large)

Reported on 7 benchmarks across 3 tasks · 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 Processing6 results

  • Visual Question Answering (VQA)onVCR (Q-AR) test
    Accuracy· 2019-09-25
    62.8
    best: 81.6 (GPT4RoI)
    SOTA
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740
  • Visual Question Answering (VQA)onVQA v2 test-dev
    Accuracy· 2019-09-25
    73.24
    best: 84.3 (PaLI)
    SOTA
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740
  • Natural Language InferenceonSNLI-VE test
    Accuracy· 2019-09-25
    78.98
    best: 91.2 (OFA)
    SOTA
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740
  • Visual Question Answering (VQA)onVCR (QA-R) test
    Accuracy· 2019-09-25
    80.8
    best: 91 (GPT4RoI)
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740
  • Visual Question Answering (VQA)onVCR (Q-A) test
    Accuracy· 2019-09-25
    77.3
    best: 89.4 (GPT4RoI)
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740
  • Visual Question Answering (VQA)onVQA v2 test-std
    overall· 2019-09-25
    73.4
    best: 84.03 (BEiT-3)
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740

Reasoning1 result

  • Visual ReasoningonNLVR2 Test
    Accuracy· 2019-09-25
    79.5
    best: 92.58 (BEiT-3)
    SOTA
    UNITER: UNiversal Image-TExt Representation LearningarXiv:1909.11740