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Models/T-Food (CLIP)

T-Food (CLIP)

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Miscellaneous4 results

  • Image Retrieval with Multi-Modal QueryonRecipe1M
    Image-to-text R@1· 2022-04-20
    72.3
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730
  • Image Retrieval with Multi-Modal QueryonRecipe1M
    Text-to-image R@1· 2022-04-20
    72.6
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730
  • Cross-Modal Information RetrievalonRecipe1M
    Image-to-text R@1· 2022-04-20
    72.3
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730
  • Cross-Modal Information RetrievalonRecipe1M
    Text-to-image R@1· 2022-04-20
    72.6
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730

Natural Language Processing2 results

  • Cross-Modal RetrievalonRecipe1M
    Image-to-text R@1· 2022-04-20
    72.3
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730
  • Cross-Modal RetrievalonRecipe1M
    Text-to-image R@1· 2022-04-20
    72.6
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Transformer Decoders with MultiModal Regularization for Cross-Modal Food RetrievalarXiv:2204.09730