Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Selvam, Karthick Panner"'
This study investigates the efficacy of Low-Rank Adaptation (LoRA) in fine-tuning Earth Observation (EO) foundation models for flood segmentation. We hypothesize that LoRA, a parameter-efficient technique, can significantly accelerate the adaptation
Externí odkaz:
http://arxiv.org/abs/2409.09907
We take the perspective in which we want to design a downstream task (such as estimating vegetation coverage) on a certain area of interest (AOI) with a limited labeling budget. By leveraging an existing Foundation Model (FM) we must decide whether w
Externí odkaz:
http://arxiv.org/abs/2409.08744
Deep Learning (DL) has developed to become a corner-stone in many everyday applications that we are now relying on. However, making sure that the DL model uses the underlying hardware efficiently takes a lot of effort. Knowledge about inference chara
Externí odkaz:
http://arxiv.org/abs/2303.11733
Publikováno v:
International Journal of Advanced Computer Science & Applications; Jun2024, Vol. 15 Issue 6, p74-83, 10p
