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

  • Published:2018-12 Issue:12 Volume:20 Page:3266-3275
  • ISSN:1520-9210
  • Container-title:IEEE Transactions on Multimedia
  • language:
  • Short-container-title:IEEE Trans. Multimedia

Author:

Aguilar EduardoORCID,Remeseiro BeatrizORCID,Bolanos MarcORCID,Radeva Petia

Funder

SGR 1219

CERCA Programme/Generalitat de Catalunya

NVIDIA Corporation

Titan Xp GPU

CONICYT Becas Chile

Spanish Ministry of Economy and Competitiveness under Juan de la Cierva

FPU fellowship

ICREA Academia 2014

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Cited by 70 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. African foods for deep learning-based food recognition systems dataset;Data in Brief;2024-04

2. A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems;IEEE Reviews in Biomedical Engineering;2024

3. CANet: cross attention network for food image segmentation;Multimedia Tools and Applications;2023-12-29

4. Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition;Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management;2023-10-29

5. SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26
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