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Models/LXR955, Single Model

LXR955, Single Model

Reported on 7 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 Processing7 results

  • Visual Question Answering (VQA)onGQA Test2019
    Accuracy· 2019-08-20
    60.33
    best: 89.3 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Binary· 2019-08-20
    77.16
    best: 91.2 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Consistency· 2019-08-20
    89.59
    best: 98.4 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Distribution· 2019-08-20
    5.69
    best: 93.08 (GlobalPrior)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Open· 2019-08-20
    45.47
    best: 87.4 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Plausibility· 2019-08-20
    84.53
    best: 97.2 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490
  • Visual Question Answering (VQA)onGQA Test2019
    Validity· 2019-08-20
    96.35
    best: 98.9 (human)
    LXMERT: Learning Cross-Modality Encoder Representations from TransformersarXiv:1908.07490