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Models/ACME

ACME

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· 2019-05-03
    51.8
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273
  • Image Retrieval with Multi-Modal QueryonRecipe1M
    Text-to-image R@1· 2019-05-03
    52.8
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273
  • Cross-Modal Information RetrievalonRecipe1M
    Image-to-text R@1· 2019-05-03
    51.8
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273
  • Cross-Modal Information RetrievalonRecipe1M
    Text-to-image R@1· 2019-05-03
    52.8
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273

Natural Language Processing2 results

  • Cross-Modal RetrievalonRecipe1M
    Image-to-text R@1· 2019-05-03
    51.8
    best: 74.9 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273
  • Cross-Modal RetrievalonRecipe1M
    Text-to-image R@1· 2019-05-03
    52.8
    best: 75.6 (VLPCook (R1M+))
    SOTA
    Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food ImagesarXiv:1905.01273