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Models/X-Transformer

X-Transformer

Reported on 8 benchmarks across 1 task · 1 paper · 7 SOTA

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

Natural Language Processing8 results

  • Image CaptioningonCOCO Captions
    BLEU-1· 2020-03-31
    80.9
    best: 84.2 (GRIT (No VL pretraining - base))
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    BLEU-2· 2020-03-31
    65.8
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    BLEU-3· 2020-03-31
    51.5
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    BLEU-4· 2020-03-31
    39.7
    best: 46.5 (mPLUG)
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    CIDER· 2020-03-31
    132.8
    best: 155.1 (mPLUG)
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    METEOR· 2020-03-31
    29.5
    best: 33.9 (CoCa)
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    SPICE· 2020-03-31
    23.4
    best: 27 (VAST)
    SOTA
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080
  • Image CaptioningonCOCO Captions
    ROUGE-L· 2020-03-31
    59.1
    best: 61.1 (ExpansionNet v2 (No VL pretraining))
    X-Linear Attention Networks for Image CaptioningarXiv:2003.14080