2 papers
cs.CV2024
Gradient-based Class Weighting for Unsupervised Domain Adaptation in Dense Prediction Visual Tasks
Roberto Alcover-Couso, Marcos Escudero-Viñolo, Juan C. SanMiguel +1
In unsupervised domain adaptation (UDA), where models are trained on source data (e.g., synthetic) and adapted to target data (e.g., real-world) without target annotations, address…
cs.CV2024
SPIN: Spacecraft Imagery for Navigation
Javier Montalvo, Juan Ignacio Bravo Pérez-Villar, Álvaro García-Martín +2
The scarcity of data acquired under actual space operational conditions poses a significant challenge for developing learning-based visual navigation algorithms crucial for autonom…