3 papers
cs.CV2026
Cross-Domain Transfer of Hyperspectral Foundation Models
Nick Theisen, Peer Neubert
Hyperspectral imaging (HSI) semantic segmentation typically relies on in-domain training, but limited data availability often restricts model performance in real-world applications…
cs.CV2025
Data-Efficient Spectral Classification of Hyperspectral Data Using MiniROCKET and HDC-MiniROCKET
Nick Theisen, Kenny Schlegel, Dietrich Paulus +1
The classification of pixel spectra of hyperspectral images, i.e. spectral classification, is used in many fields ranging from agricultural, over medical to remote sensing applicat…
cs.RO2025
Towards Zero-Shot Terrain Traversability Estimation: Challenges and Opportunities
Ida Germann, Mark O. Mints, Peer Neubert
Terrain traversability estimation is crucial for autonomous robots, especially in unstructured environments where visual cues and reasoning play a key role. While vision-language m…