Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
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Abstract (arXiv)
Designing powerful tools that support cooking activities has rapidly gained popularity due to the massive amounts of available data, as well as recent advances in machine learning that are capable of analyzing them. In this paper, we propose a cross-modal retrieval model aligning visual and textual data (like pictures of dishes and their recipes) in a shared representation space. We describe an effective learning scheme, capable of tackling large-scale problems, and validate it on the Recipe1M dataset containing nearly 1 million picture-recipe pairs. We show the effectiveness of our approach regarding previous state-of-the-art models and present qualitative results over computational cooking use cases.
Key facts. Cited by 35 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Apr 2018.
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Citing papers per year: 2021: 12; 2022: 13; 2023: 7; 2024: 0; 2025: 2; 2026: 1.
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- 2022MTEB: Massive Text Embedding Benchmarkcited by 640
- 2021Large Scale Visual Food Recognitioncited by 75
- 2022Multi-Modal Knowledge Graph Construction and Application: A Surveycited by 74
- 2021Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learningcited by 28
- 2021Robust and Decomposable Average Precision for Image Retrievalcited by 19
- 2021Learning Structural Representations for Recipe Generation and Food Retrievalcited by 17
- 2022Learning Program Representations for Food Images and Cooking Recipescited by 16
- 2022Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networkscited by 12
- 2021Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actionscited by 10
- 2023Optimization of Rank Losses for Image Retrievalcited by 10
- 2023Learnable Pillar-based Re-ranking for Image-Text Retrievalcited by 9
- 2021Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineeringcited by 8
23 more
- 2021CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrievalcited by 7
- 2021Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoringcited by 7
- 2021Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Servicecited by 6
- 2022Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrievalcited by 6
- 2022Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrievalcited by 5
- 2023The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagerycited by 5
- 2021Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Imagescited by 4
- 2022A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrievalcited by 4
- 2022RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformercited by 4
- 2022Cross-lingual Adaptation for Recipe Retrieval with Mixupcited by 3
- 2022Vision and Structured-Language Pretraining for Cross-Modal Food Retrievalcited by 3
- 2023Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Studycited by 3
- 2023Cross-Modal Entity Matching for Visually Rich Documentscited by 2
- 2022Transformer-based Cross-Modal Recipe Embeddings with Large Batch Trainingcited by 1
- 2022Facing the Void: Overcoming Missing Data in Multi-View Imagerycited by 1
- 2022QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolutioncited by 1
- 2023MALM: Mask Augmentation based Local Matching for Food-Recipe Retrievalcited by 1
- 2025Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrievalcited by 1
- 2021Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learningcited by 0
- 2021Calorie Aware Automatic Meal Kit Generation from an Imagecited by 0
- 2023Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasetscited by 0
- 2025Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrievalcited by 0
- 2026SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embeddingcited by 0
- 2026SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding17 Apr 2026
- 2025Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval19 Nov 2025
- 2025Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval23 Oct 2025
- 2023Optimization of Rank Losses for Image Retrieval15 Sep 2023
- 2023MALM: Mask Augmentation based Local Matching for Food-Recipe Retrieval18 May 2023
- 2023Learnable Pillar-based Re-ranking for Image-Text Retrieval25 Apr 2023
- 2023The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagery20 Mar 2023
- 2023Cross-Modal Entity Matching for Visually Rich Documents1 Mar 2023
- 2023Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets2 Feb 2023
- 2023Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study12 Jan 2023
- 2022Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval8 Dec 2022
- 2022RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer14 Oct 2022
23 more
- 2022MTEB: Massive Text Embedding Benchmark13 Oct 2022
- 2022QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution12 Oct 2022
- 2022Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval29 Jul 2022
- 2022Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks24 May 2022
- 2022Facing the Void: Overcoming Missing Data in Multi-View Imagery21 May 2022
- 2022Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training10 May 2022
- 2022Cross-lingual Adaptation for Recipe Retrieval with Mixup8 May 2022
- 2022Transformer Decoders with MultiModal Regularization for Cross-Modal Food Retrieval20 Apr 2022
- 2022Learning Program Representations for Food Images and Cooking Recipes30 Mar 2022
- 2022Multi-Modal Knowledge Graph Construction and Application: A Survey11 Feb 2022
- 2022A Comprehensive Empirical Study of Vision-Language Pre-trained Model for Supervised Cross-Modal Retrieval8 Jan 2022
- 2021Calorie Aware Automatic Meal Kit Generation from an Image18 Dec 2021
- 2021Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering22 Oct 2021
- 2021Learning Structural Representations for Recipe Generation and Food Retrieval4 Oct 2021
- 2021Robust and Decomposable Average Precision for Image Retrieval1 Oct 2021
- 2021Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images9 Aug 2021
- 2021Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service2 Aug 2021
- 2021Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning2 Aug 2021
- 2021Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring1 Jul 2021
- 2021Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actions6 Jun 2021
- 2021Large Scale Visual Food Recognition30 Mar 2021
- 2021Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning24 Mar 2021
- 2021CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval4 Feb 2021
- 2022MTEB: Massive Text Embedding Benchmarkcited by 640
- 2021Large Scale Visual Food Recognitioncited by 75
- 2022Multi-Modal Knowledge Graph Construction and Application: A Surveycited by 74
- 2021Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learningcited by 28
- 2021Robust and Decomposable Average Precision for Image Retrievalcited by 19
- 2021Learning Structural Representations for Recipe Generation and Food Retrievalcited by 17
- 2022Learning Program Representations for Food Images and Cooking Recipescited by 16
- 2022Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networkscited by 12
- 2021Transferring Knowledge from Text to Video: Zero-Shot Anticipation for Procedural Actionscited by 10
- 2023Optimization of Rank Losses for Image Retrievalcited by 10
- 2023Learnable Pillar-based Re-ranking for Image-Text Retrievalcited by 9
- 2021Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineeringcited by 8
12 most cited of 32 All 32 (JSON)
- 2026SIMMER: Cross-Modal Food Image--Recipe Retrieval via MLLM-Based Embedding17 Apr 2026
- 2025Towards Unbiased Cross-Modal Representation Learning for Food Image-to-Recipe Retrieval19 Nov 2025
- 2025Mitigating Cross-modal Representation Bias for Multicultural Image-to-Recipe Retrieval23 Oct 2025
- 2023Optimization of Rank Losses for Image Retrieval15 Sep 2023
- 2023Learnable Pillar-based Re-ranking for Image-Text Retrieval25 Apr 2023
- 2023The Multimodal And Modular Ai Chef: Complex Recipe Generation From Imagery20 Mar 2023
- 2023Cross-Modal Entity Matching for Visually Rich Documents1 Mar 2023
- 2023Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets2 Feb 2023
- 2023Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study12 Jan 2023
- 2022RecipeMind: Guiding Ingredient Choices from Food Pairing to Recipe Completion using Cascaded Set Transformer14 Oct 2022
- 2022MTEB: Massive Text Embedding Benchmark13 Oct 2022
- 2022QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution12 Oct 2022
12 newest of 32 All 32 (JSON)