Segment anything, from space?

no code implementations • 25 Apr 2023 • Simiao Ren, Francesco Luzi, Saad Lahrichi, Kaleb Kassaw, Leslie M. Collins, Kyle Bradbury, Jordan M. Malof

In this work, we examine whether SAM's performance extends to overhead imagery problems and help guide the community's response to its development.

Image Segmentation Segmentation +1

Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer

no code implementations • 24 Dec 2022 • Evelyn A. Stump, Francesco Luzi, Leslie M. Collins, Jordan M. Malof

To address this problem, we explore cross-modal style transfer (CMST) to leverage large and diverse color imagery datasets so that they can be used to train DNN-based IR image based object detectors.

Meta-Learning Object Detection +1

Transformers For Recognition In Overhead Imagery: A Reality Check

no code implementations • 23 Oct 2022 • Francesco Luzi, Aneesh Gupta, Leslie Collins, Kyle Bradbury, Jordan Malof

In this paper we systematically compare the impact of adding transformer structures into state-of-the-art segmentation models for overhead imagery.

Bayesian Optimization