Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants-Reference-Cited by-同舟云学术

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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 Eduardo^ORCID,Remeseiro Beatriz^ORCID,Bolanos Marc^ORCID,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

Link

http://xplorestaging.ieee.org/ielx7/6046/8536741/08352652.pdf?arnumber=8352652

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2. Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing;The Visual Computer;2024-07-09

3. Attention guided approach for food type and state recognition;Food and Bioproducts Processing;2024-05

4. Leveraging automatic personalised nutrition: food image recognition benchmark and dataset based on nutrition taxonomy;Multimedia Tools and Applications;2024-04-18

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

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