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Awesome-FoodAI
AI Research Resources in Food Domain
https://github.com/AndrewZhuZJU/Awesome-FoodAI
Last synced: about 11 hours ago
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Datasets
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Recognition
- Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition
- Zero-shot Ingredient Recognition by Multi-Relational Graph Convolutional Network
- FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
- Mixed-dish Recognition with Contextual Relation Networks
- Wide-Slice Residual Networks for Food Recognition
- Deep-based Ingredient Recognition for Cooking Recipe Retrieva
- FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging
- Cross-modal Recipe Retrieval with Rich Food Attributes
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Retrieval
- MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
- Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
- R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network
- Cross-Modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings
- Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval
- Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
- Learning Cross-modal Embeddings for Cooking Recipes and Food Images - lab/im2recipe-Pytorch)]
- Cross-modal Recipe Retrieval: How to Cook This Dish?
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Generation
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Instructional Video Analysis
- Action Modifiers: Learning from Adverbs in Instructional Videos
- Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
- DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
- Towards Automatic Learning of Procedures from Web Instructional Videos
- Scaling Egocentric Vision:The EPIC-KITCHENS Dataset
- Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
- CVF Finding “It”: Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos
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Survey
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