4 papers
Super-Resolving Unseen Hyperspectral Sensors at Any Scale via Spatial Operators
Ji-Xuan He, Guohang Zhuang, Bo Junge +6
Achieving cross-sensor generalization and arbitrary-scale reconstruction with a single model remains challenging in hyperspectral super-resolution (HSR). Although recent methods su…
Correcting Spectra Outside the Backbone: A Model-Agnostic Rectifier for Hyperspectral Image Super-Resolution
Ji-Xuan He, Guohang Zhuang, Junge Bo +6
Hyperspectral image super-resolution (HSI-SR) aims to recover spatial detail while preserving the spectral shape on which quantitative analysis relies. Recent HSI-SR methods, from…
MultiFoodhat: A potential new paradigm for intelligent food quality inspection
Yue Hu, Guohang Zhuang
Food image classification plays a vital role in intelligent food quality inspection, dietary assessment, and automated monitoring. However, most existing supervised models rely hea…
GCAM: Gaussian and causal-attention model of food fine-grained recognition
Guohang Zhuang, Yue Hu, Tianxing Yan +1
Currently, most food recognition relies on deep learning for category classification. However, these approaches struggle to effectively distinguish between visually similar food sa…