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Models/SGVST

SGVST

Reported on 16 benchmarks across 4 tasks

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

Natural Language Processing12 results

  • Data-to-Text GenerationonVIST
    BLEU-4
    14.7
    best: 16.7 (HEGR)
  • Data-to-Text GenerationonVIST
    CIDEr
    9.8
    best: 14.1 (HEGR)
  • Data-to-Text GenerationonVIST
    METEOR
    35.8
    best: 37.8 (HEGR)
  • Data-to-Text GenerationonVIST
    ROUGE-L
    29.9
    best: 33.1 (TAPM)
  • Visual StorytellingonVIST
    BLEU-4
    14.7
    best: 16.7 (HEGR)
  • Visual StorytellingonVIST
    CIDEr
    9.8
    best: 14.1 (HEGR)
  • Visual StorytellingonVIST
    METEOR
    35.8
    best: 37.8 (HEGR)
  • Visual StorytellingonVIST
    ROUGE-L
    29.9
    best: 33.1 (TAPM)
  • Story GenerationonVIST
    BLEU-4
    14.7
    best: 16.7 (HEGR)
  • Story GenerationonVIST
    CIDEr
    9.8
    best: 14.1 (HEGR)
  • Story GenerationonVIST
    METEOR
    35.8
    best: 37.8 (HEGR)
  • Story GenerationonVIST
    ROUGE-L
    29.9
    best: 33.1 (TAPM)

Adversarial4 results

  • Text GenerationonVIST
    BLEU-4
    14.7
    best: 16.7 (HEGR)
  • Text GenerationonVIST
    CIDEr
    9.8
    best: 14.1 (HEGR)
  • Text GenerationonVIST
    METEOR
    35.8
    best: 37.8 (HEGR)
  • Text GenerationonVIST
    ROUGE-L
    29.9
    best: 33.1 (TAPM)