Annotate and retrieve in vivo images using hybrid self-organizing map
Multimodal retrieval has gained much attention lately due to its effectiveness over uni-modal
retrieval. For instance, visual features often under-constrain the description of an image in …
retrieval. For instance, visual features often under-constrain the description of an image in …
Recognize after early fusion: the Chinese food recognition based on the alignment of image and ingredients
R Zhang, D Ouyang, L He, L Kuang, H Bai - Multimedia Systems, 2024 - Springer
As concerns about health continue to grow, more and more works are being done in the field
of food computing. One of the basic topics in food computing is how to extract important …
of food computing. One of the basic topics in food computing is how to extract important …
Bio-Inspired Spotted Hyena Optimizer with Deep Convolutional Neural Network-Based Automated Food Image Classification
Food image classification, an interesting subdomain of Computer Vision (CV) technology,
focuses on the automatic classification of food items represented through images. This …
focuses on the automatic classification of food items represented through images. This …
Mixture autoregressive and spectral attention network for multispectral image compression based on variational autoencoder
F Kong, G Ren, Y Hu, D Li, K Hu - The Visual Computer, 2023 - Springer
Multispectral images, with their unique three-dimensional characteristics, require
specialized spatial-spectral feature extraction modules to achieve superior compression …
specialized spatial-spectral feature extraction modules to achieve superior compression …