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A Survey on Food Computing.

, , , , и . CoRR, (2018)

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Hans Linhuber

Quirin Joseph Linhuber

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Liu Liu

Liu Liu

 

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Semi-Supervised 3D Medical Image Segmentation Via Boundary-Aware Consistent Hidden Representation Learning., , , , , и . ICIP, стр. 836-840. IEEE, (2022)A Unified Multi-modal Structure for Retrieving Tracked Vehicles through Natural Language Descriptions., , , и . CVPR Workshops, стр. 5419-5427. IEEE, (2023)Ingredient-Guided Cascaded Multi-Attention Network for Food Recognition., , , и . ACM Multimedia, стр. 1331-1339. ACM, (2019)Diverse image search with explanations., и . Multim. Tools Appl., 83 (8): 23067-23082 (2024)Semi-supervised Medical Image Segmentation with Semantic Distance Distribution Consistency Learning., , , и . PRCV (2), том 13535 из Lecture Notes in Computer Science, стр. 323-335. Springer, (2022)Few-shot Food Recognition via Multi-view Representation Learning., , , и . ACM Trans. Multim. Comput. Commun. Appl., 16 (3): 87:1-87:20 (2020)Learn More for Food Recognition via Progressive Self-Distillation., , и . AAAI, стр. 3879-3887. AAAI Press, (2023)Multi-Scale Multi-View Deep Feature Aggregation for Food Recognition., , , и . IEEE Trans. Image Process., (2020)Feature-Suppressed Contrast for Self-Supervised Food Pre-training., , , , и . ACM Multimedia, стр. 4359-4367. ACM, (2023)ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network., , , , , , и . ACM Multimedia, стр. 393-401. ACM, (2020)