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Models/ERNIE-ViL 2.0

ERNIE-ViL 2.0

Reported on 39 benchmarks across 4 tasks · 1 paper · 11 SOTA

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

Miscellaneous36 results

  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@1· uses extra data· 2022-09-30
    93.3
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@10· uses extra data· 2022-09-30
    99.8
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@5· uses extra data· 2022-09-30
    99.4
    best: 99.5 (M2-Encoder)
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Text-to-image R@1· uses extra data· 2022-09-30
    93.3
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Text-to-image R@10· uses extra data· 2022-09-30
    99.8
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Text-to-image R@5· uses extra data· 2022-09-30
    99.4
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@1· uses extra data· 2022-09-30
    97.2
    best: 98.8 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@10· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@5· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@1· uses extra data· 2022-09-30
    77.4
    best: 84.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@10· uses extra data· 2022-09-30
    97.1
    best: 98.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@5· uses extra data· 2022-09-30
    93.6
    best: 96.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@1· uses extra data· 2022-09-30
    59.5
    best: 68 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@10· uses extra data· 2022-09-30
    90.1
    best: 92.8 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@5· uses extra data· 2022-09-30
    83.4
    best: 92.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@1· 2022-09-30
    91.2
    best: 98.8 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@10· 2022-09-30
    99.8
    best: 100 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@5· 2022-09-30
    99.1
    best: 100 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@1· 2022-09-30
    77.4
    best: 93.3
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@10· 2022-09-30
    96.4
    best: 99.8
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@5· 2022-09-30
    93.8
    best: 99.5 (M2-Encoder)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@1· 2022-09-30
    63.1
    best: 84.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@10· 2022-09-30
    91.4
    best: 98.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@5· 2022-09-30
    85.7
    best: 96.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@1· 2022-09-30
    46
    best: 68 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@10· 2022-09-30
    80.4
    best: 92.8 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@5· 2022-09-30
    71.4
    best: 92.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Image-to-text R@1· uses extra data· 2022-09-30
    97.2
    best: 98.8 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Image-to-text R@10· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonFlickr30k
    Image-to-text R@5· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@1· uses extra data· 2022-09-30
    77.4
    best: 84.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@10· uses extra data· 2022-09-30
    97.1
    best: 98.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@5· uses extra data· 2022-09-30
    93.6
    best: 96.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@1· uses extra data· 2022-09-30
    59.5
    best: 68 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@10· uses extra data· 2022-09-30
    90.1
    best: 92.8 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@5· uses extra data· 2022-09-30
    83.4
    best: 92.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270

Natural Language Processing15 results

  • Cross-Modal RetrievalonFlickr30k
    Text-to-image R@1· uses extra data· 2022-09-30
    93.3
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonFlickr30k
    Text-to-image R@10· uses extra data· 2022-09-30
    99.8
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonFlickr30k
    Text-to-image R@5· uses extra data· 2022-09-30
    99.4
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image-to-Text RetrievalonFlickr30k
    Recall@1· 2022-09-30
    96.1
    best: 97.9 (InternVL-G-FT (finetuned, w/o ranking))
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image-to-Text RetrievalonFlickr30k
    Recall@5· 2022-09-30
    99.9
    best: 100 (InternVL-G-FT (finetuned, w/o ranking))
    SOTA
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonFlickr30k
    Image-to-text R@1· uses extra data· 2022-09-30
    97.2
    best: 98.8 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonFlickr30k
    Image-to-text R@10· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonFlickr30k
    Image-to-text R@5· uses extra data· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@1· uses extra data· 2022-09-30
    77.4
    best: 84.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@10· uses extra data· 2022-09-30
    97.1
    best: 98.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@5· uses extra data· 2022-09-30
    93.6
    best: 96.5 (X2-VLM (large))
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@1· uses extra data· 2022-09-30
    59.5
    best: 68 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@10· uses extra data· 2022-09-30
    90.1
    best: 92.8 (VAST)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@5· uses extra data· 2022-09-30
    83.4
    best: 92.8 (BEiT-3)
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270
  • Image-to-Text RetrievalonFlickr30k
    Recall@10· 2022-09-30
    100
    ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-trainingarXiv:2209.15270