research
∙
10/10/2022
Deep Learning for Logo Detection: A Survey
When logos are increasingly created, logo detection has gradually become...
share
research
∙
08/10/2021
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network
Food logo detection plays an important role in the multimedia for its wi...
research
∙
08/06/2021
Vision-Based Food Analysis for Automatic Dietary Assessment
Background: Maintaining a healthy diet is vital to avoid health-related ...
research
∙
07/13/2021
Towards Building a Food Knowledge Graph for Internet of Food
Background: The deployment of various networks (e.g., Internet of Things...
research
∙
03/30/2021
Large Scale Visual Food Recognition
Food recognition plays an important role in food choice and intake, whic...
research
∙
02/09/2021
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough
Optimising the approximation of Average Precision (AP) has been widely s...
research
∙
08/18/2020
Dataset Bias in Few-shot Image Recognition
The goal of few-shot image recognition (FSIR) is to identify novel categ...
research
∙
08/13/2020
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Food recognition has received more and more attention in the multimedia ...
research
∙
08/12/2020
LogoDet-3K: A Large-Scale Image Dataset for Logo Detection
Logo detection has been gaining considerable attention because of its wi...
research
∙
05/15/2019
Food Recommendation: Framework, Existing Solutions and Challenges
A growing proportion of the global population is becoming overweight or ...
research
∙
10/23/2018
Hierarchy-Dependent Cross-Platform Multi-View Feature Learning for Venue Category Prediction
In this work, we focus on visual venue category prediction, which can fa...
research
∙
08/22/2018
A Survey on Food Computing
Food is essential for human life and it is fundamental to the human expe...
research
∙
01/22/2018
