Food Recognition
3 papers with code • 0 benchmarks • 6 datasets
Benchmarks
These leaderboards are used to track progress in Food Recognition
Most implemented papers
NU-InNet: Thai Food Image Recognition Using Convolutional Neural Networks on Smartphone
In this paper, the image recognition for Thai food using a smartphone is studied.
Deep learning approaches in food recognition
Automatic image-based food recognition is a particularly challenging task.
Mining Discriminative Food Regions for Accurate Food Recognition
Taking inspiration from Adversarial Erasing, a strategy that progressively discovers discriminative object regions for weakly supervised semantic segmentation, we propose a novel network architecture in which a primary network maintains the base accuracy of classifying an input image, an auxiliary network adversarially mines discriminative food regions, and a region network classifies the resulting mined regions.