3 papers
cs.CV2024
Weight Copy and Low-Rank Adaptation for Few-Shot Distillation of Vision Transformers
Diana-Nicoleta Grigore, Mariana-Iuliana Georgescu, Jon Alvarez Justo +3
Few-shot knowledge distillation recently emerged as a viable approach to harness the knowledge of large-scale pre-trained models, using limited data and computational resources. In…
cs.CV2024
Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning
Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac +5
Satellites are increasingly adopting on-board AI to optimize operations and increase autonomy through in-orbit inference. The use of Deep Learning (DL) models for segmentation in h…
eess.IV2024
Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends
Nafiseh Ghasemi, Jon Alvarez Justo, Marco Celesti +2
Recent advancements in deep learning techniques have spurred considerable interest in their application to hyperspectral imagery processing. This paper provides a comprehensive rev…