Global–local feature learning for fine-grained food classification based on Swin Transformer
Separable object parts, such as the head and tail in a bird, are vital for fine-grained visual
classifications. For those objects without separable parts, the classification task relies only …
classifications. For those objects without separable parts, the classification task relies only …
GCAM: Gaussian and causal-attention model of food fine-grained recognition
G Zhuang, Y Hu, T Yan, JZ Gao - Signal, Image and Video Processing, 2024 - Springer
Currently, most food recognition relies on deep learning for category classification. However,
these approaches struggle to effectively distinguish between visually similar food samples …
these approaches struggle to effectively distinguish between visually similar food samples …
[HTML][HTML] Metaheuristic-based energy-aware image compression for mobile app development
SJ Mousavirad, LA Alexandre - Multimedia Tools and Applications, 2024 - Springer
The widely applied JPEG standard has undergone recent efforts using population-based
metaheuristic (PBMH) algorithms to optimise quantisation tables (QTs) for specific images …
metaheuristic (PBMH) algorithms to optimise quantisation tables (QTs) for specific images …
Learning and Vision-based approach for Human fall detection and classification in naturally occurring scenes using video data
S Singh, K Kumari, A Vaish - ACM Transactions on Asian and Low …, 2024 - dl.acm.org
The advancement of medicine presents challenges for modern cultures, especially with
unpredictable elderly falling incidents anywhere due to serious health issues. Delayed …
unpredictable elderly falling incidents anywhere due to serious health issues. Delayed …
Food Classification by extracting the important features using VGGNet based Models in Precision Agriculture
R Mahaveerakannan, KK Devi - 2024 2nd International …, 2024 - ieeexplore.ieee.org
Image categorization is quickly rising to the forefront as a potential component of computer
vision-based object recognition. Nevertheless, study has only made preliminary progress in …
vision-based object recognition. Nevertheless, study has only made preliminary progress in …
A Deep Learning-Based Model for Indian Food Image Classification
Food picture classification provides considerable advantages for the food and medical
industries, making it a topic of study that is rapidly increasing. Future uses for automated …
industries, making it a topic of study that is rapidly increasing. Future uses for automated …