2 papers
cs.CV2025
CLOSP: A Unified Semantic Space for SAR, MSI, and Text in Remote Sensing
Daniele Rege Cambrin, Lorenzo Vaiani, Giuseppe Gallipoli +2
Retrieving relevant imagery from vast satellite archives is crucial for applications like disaster response and long-term climate monitoring. However, most text-to-image retrieval…
cs.CL2024
Beyond Accuracy Optimization: Computer Vision Losses for Large Language Model Fine-Tuning
Daniele Rege Cambrin, Giuseppe Gallipoli, Irene Benedetto +2
Large Language Models (LLMs) have demonstrated impressive performance across various tasks. However, current training approaches combine standard cross-entropy loss with extensive…