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Deep learning approaches in food recognition
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Deep learning approaches in food recognition

Learning and Analytics in Intelligent Systems (LAIS), 2020
C. Kiourt
George Pavlidis
Stella Markantonatou
ArXiv (abs)PDFHTML

Papers citing "Deep learning approaches in food recognition"

3 / 3 papers shown
Title
Fraesormer: Learning Adaptive Sparse Transformer for Efficient Food Recognition
Fraesormer: Learning Adaptive Sparse Transformer for Efficient Food Recognition
Shun Zou
Yi Zou
Mingya Zhang
Shipeng Luo
Zhihao Chen
Guangwei Gao
ViT
173
0
0
15 Mar 2025
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
FoodLMM: A Versatile Food Assistant using Large Multi-modal Model
Yuehao Yin
Huiyan Qi
B. Zhu
Jingjing Chen
Yu-Gang Jiang
Chong-Wah Ngo
128
34
0
22 Dec 2023
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
C. Kiourt
G. Feretzakis
K. Dalamarinis
Dimitris Kalles
G. Pantos
...
S. Kouris
G. Ioannakis
E. Loupelis
P. Antonopoulos
A. Sakagianni
89
3
0
24 May 2021

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