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Cross Modal Retrieval On Recipe1M

Metrics

Image-to-text R@1

Text-to-image R@1

Results

Performance results of various models on this benchmark

			Paper Title	Repository
VLPCook (R1M+)	74.9	75.6	Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval
VLPCook	73.6	74.7	Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval
T-Food (CLIP)	72.3	72.6	Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval
T-Food	68.2	68.3	Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval
X-MRS	64	63.9	Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning	-
H-T	60.0	60.3	Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
SCAN	54.0	54.9	Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism	-
ACME	51.8	52.8	Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
AdaMine	39.8	40.2	Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings

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Cross Modal Retrieval On Recipe1M | SOTA | HyperAI