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Models/Single, w/o VLP

Single, w/o VLP

Reported on 4 benchmarks across 1 task · 2 papers

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

Natural Language Processing8 results

  • Visual Question Answering (VQA)onVQA v2 test-std
    number· 2020-04-25
    58.62
    best: 72.24 (ONE-PEACE)
    Deep Multimodal Neural Architecture SearcharXiv:2004.12070
  • Visual Question Answering (VQA)onVQA v2 test-std
    other· 2020-04-25
    63.78
    best: 77.02 (mPLUG-Huge)
    Deep Multimodal Neural Architecture SearcharXiv:2004.12070
  • Visual Question Answering (VQA)onVQA v2 test-std
    overall· 2020-04-25
    73.86
    best: 84.03 (BEiT-3)
    Deep Multimodal Neural Architecture SearcharXiv:2004.12070
  • Visual Question Answering (VQA)onVQA v2 test-std
    yes/no· 2020-04-25
    89.46
    best: 94.85 (ONE-PEACE)
    Deep Multimodal Neural Architecture SearcharXiv:2004.12070
  • Visual Question Answering (VQA)onVQA v2 test-std
    number· 2020-01-10
    58.01
    best: 72.24 (ONE-PEACE)
    In Defense of Grid Features for Visual Question AnsweringarXiv:2001.03615
  • Visual Question Answering (VQA)onVQA v2 test-std
    other· 2020-01-10
    64.77
    best: 77.02 (mPLUG-Huge)
    In Defense of Grid Features for Visual Question AnsweringarXiv:2001.03615
  • Visual Question Answering (VQA)onVQA v2 test-std
    overall· 2020-01-10
    74.16
    best: 84.03 (BEiT-3)
    In Defense of Grid Features for Visual Question AnsweringarXiv:2001.03615
  • Visual Question Answering (VQA)onVQA v2 test-std
    yes/no· 2020-01-10
    89.18
    best: 94.85 (ONE-PEACE)
    In Defense of Grid Features for Visual Question AnsweringarXiv:2001.03615