Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism

Recognizing Food Places in Egocentric Photo-Streams Using Multi-Scale Atrous Convolutional Networks and Self-Attention Mechanism

Wearable sensors (e.g., lifelogging cameras) represent very useful tools to monitor people's daily habits and lifestyle. Wearable cameras are able to continuously capture different moments of the day of their wearers, their environment, and interactions with objects, people, and places reflecti...

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Bibliographic Details
Main Authors: Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefania Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Food places recognition
scene classification
self-attention model
atrous convolutional networks
egocentric photo-streams
visual lifelogging
Online Access:https://ieeexplore.ieee.org/document/8671710/

Internet

https://ieeexplore.ieee.org/document/8671710/

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