A bimodal image dataset for seed classification from the visible and near-infrared spectrum

Automatic acoustic classification of feline sex

Optimization of the purity analysis of rapeseed by using hyperspectral imaging in the spectral range from 400 to 1600 nm

The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition

Maksim Kukushkin

BiMAE – A Bimodal Masked Autoencoder Architecture for Single-Label Hyperspectral Image Classification

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video

On optimizing morphological neural networks for hyperspectral image classification

Automating the purity analysis of oilseed rape through usage of hyperspectral imaging

BiCAE – A Bimodal Convolutional Autoencoder for Seed Purity Testing