Abstract: Satellite image classification is a key task in remote sensing, where deep learning models are increasingly applied for their accuracy and automation capabilities. This study conducts a ...

I have a branch ready that uses exp(x) instead of sin(x) as the y (target) variable. The reason for this is faster and clearer convergence, since exp(x) is well approximated by a Taylor expansion ...

Abstract: Multilabel remote sensing image classification (MLRSIC) can provide comprehensive object-level semantic descriptions of remote sensing images. However, most existing methods struggle to ...

. While informative, I noticed it currently lacks a motivating example and some supporting code. In my recent research, I explored warm starting by reusing a few layers from an LLM and retraining a ...