TasksSotADatasetsPapersMethodsSubmitAbout
Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable BenchmarksAll SotADatasetsPapersMethods

Community

Submit ResultsAbout

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/ALBEF

ALBEF

Reported on 39 benchmarks across 11 tasks · 2 papers · 27 SOTA

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

Miscellaneous26 results

  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@1· uses extra data· 2021-07-16
    77.6
    best: 84.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@10· uses extra data· 2021-07-16
    97.2
    best: 98.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@5· uses extra data· 2021-07-16
    94.3
    best: 96.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@1· uses extra data· 2021-07-16
    60.7
    best: 68 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@10· uses extra data· 2021-07-16
    90.5
    best: 92.8 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@5· uses extra data· 2021-07-16
    84.3
    best: 92.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@1· uses extra data· 2021-07-16
    77.6
    best: 84.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@10· uses extra data· 2021-07-16
    97.2
    best: 98.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Image-to-text R@5· uses extra data· 2021-07-16
    94.3
    best: 96.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@1· uses extra data· 2021-07-16
    60.7
    best: 68 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@10· uses extra data· 2021-07-16
    90.5
    best: 92.8 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCOCO 2014
    Text-to-image R@5· uses extra data· 2021-07-16
    84.3
    best: 92.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCommercialAdsDataset
    ADD(S) AUC· 2021-07-16
    82.74
    best: 91.73 (AlignCMSS)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@1· 2021-07-16
    90.5
    best: 98.8 (X2-VLM (large))
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@10· 2021-07-16
    99.7
    best: 100 (X2-VLM (large))
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Image-to-text R@5· 2021-07-16
    98.8
    best: 100 (X2-VLM (large))
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@1· 2021-07-16
    76.8
    best: 93.3 (ERNIE-ViL 2.0)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@10· 2021-07-16
    96.7
    best: 99.8 (ERNIE-ViL 2.0)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonFlickr30k
    Text-to-image R@5· 2021-07-16
    93.7
    best: 99.5 (M2-Encoder)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@1· 2021-07-16
    68.7
    best: 84.8 (BEiT-3)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@10· 2021-07-16
    94.7
    best: 98.5 (X2-VLM (large))
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Image-to-text R@5· 2021-07-16
    89.5
    best: 96.5 (X2-VLM (large))
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@1· 2021-07-16
    50.1
    best: 68 (VAST)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@10· 2021-07-16
    84.5
    best: 92.8 (VAST)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image Retrieval with Multi-Modal QueryonCOCO 2014
    Text-to-image R@5· 2021-07-16
    76.4
    best: 92.8 (BEiT-3)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal Information RetrievalonCommercialAdsDataset
    ADD(S) AUC· 2021-07-16
    82.74
    best: 91.73 (AlignCMSS)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651

Natural Language Processing13 results

  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@1· uses extra data· 2021-07-16
    77.6
    best: 84.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@10· uses extra data· 2021-07-16
    97.2
    best: 98.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal RetrievalonCOCO 2014
    Image-to-text R@5· uses extra data· 2021-07-16
    94.3
    best: 96.5 (X2-VLM (large))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@1· uses extra data· 2021-07-16
    60.7
    best: 68 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@10· uses extra data· 2021-07-16
    90.5
    best: 92.8 (VAST)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Cross-Modal RetrievalonCOCO 2014
    Text-to-image R@5· uses extra data· 2021-07-16
    84.3
    best: 92.8 (BEiT-3)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image-to-Text RetrievalonFlickr30k
    Recall@1· 2021-07-16
    95.9
    best: 97.9 (InternVL-G-FT (finetuned, w/o ranking))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image-to-Text RetrievalonFlickr30k
    Recall@10· 2021-07-16
    100
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image-to-Text RetrievalonFlickr30k
    Recall@5· 2021-07-16
    99.8
    best: 100 (InternVL-G-FT (finetuned, w/o ranking))
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image-to-Text RetrievalonFlickr30k
    Recall@1· 2023-01-11
    92.6
    best: 97.9 (InternVL-G-FT (finetuned, w/o ranking))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742
  • Image-to-Text RetrievalonFlickr30k
    Recall@10· 2023-01-11
    99.9
    best: 100 (InternVL-G-FT (finetuned, w/o ranking))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742
  • Image-to-Text RetrievalonFlickr30k
    Recall@5· 2023-01-11
    99.3
    best: 100 (InternVL-G-FT (finetuned, w/o ranking))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742
  • Cross-Modal RetrievalonCommercialAdsDataset
    ADD(S) AUC· 2021-07-16
    82.74
    best: 91.73 (AlignCMSS)
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651

Computer Vision5 results

  • Object DetectiononOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Open Vocabulary Object DetectiononOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • Image RetrievalonFlickr30k
    Recall@1· 2023-01-11
    79.76
    best: 89.7 (BLIP-2 ViT-G (zero-shot, 1K test set))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742
  • Image RetrievalonFlickr30k
    Recall@10· 2023-01-11
    97.72
    best: 98.9 (BLIP-2 ViT-G (zero-shot, 1K test set))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742
  • Image RetrievalonFlickr30k
    Recall@5· 2023-01-11
    95.3
    best: 98.1 (BLIP-2 ViT-G (zero-shot, 1K test set))
    HADA: A Graph-based Amalgamation Framework in Image-text RetrievalarXiv:2301.04742

Methodology4 results

  • 3DonOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • 2D ClassificationonOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • 2D Object DetectiononOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651
  • 16konOVAD-Box benchmark
    mean average precision· uses extra data· 2021-07-16
    21
    best: 28 (X-VLM)
    SOTA
    Align before Fuse: Vision and Language Representation Learning with Momentum DistillationarXiv:2107.07651