SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection

Author:

Zhou Pengfei1ORCID,Min Weiqing1ORCID,Zhang Yang1ORCID,Song Jiajun1ORCID,Jin Ying1ORCID,Jiang Shuqiang1ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

Funder

CAAI-Huawei MindSpore Open Fund

National Nature Science Foundation of China

Publisher

ACM

Reference53 articles.

1. Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants

2. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In Proceedings of the International Conference on Machine Learning (ICML). 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In Proceedings of the International Conference on Machine Learning (ICML). 214--223.

3. Benchmarking algorithms for food localization and semantic segmentation

4. Zero-Shot Object Detection

5. Demirel Berkan , Ramazan Gökberk Cinbics , and Nazli. Ikizler Cinbics . 2018 . Zero-Shot Object Detection by Hybrid Region Embedding . In Proceedings of the British Machine Vision Conference (BMVC). 56--68 . Demirel Berkan, Ramazan Gökberk Cinbics, and Nazli. Ikizler Cinbics. 2018. Zero-Shot Object Detection by Hybrid Region Embedding. In Proceedings of the British Machine Vision Conference (BMVC). 56--68.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Food Computing for Nutrition and Health;2024 IEEE 40th International Conference on Data Engineering Workshops (ICDEW);2024-05-13

2. Synthesizing Knowledge-Enhanced Features for Real-World Zero-Shot Food Detection;IEEE Transactions on Image Processing;2024

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