1 code implementation • 18 Sep 2023 • Xinye Wanyan, Sachith Seneviratne, Kerry Nice, Jason Thompson, Marcus White, Nano Langenheim, Mark Stevenson
The annotation of segmentation tasks, especially labeling remote sensing images with specialized requirements, is very expensive, so we aim to introduce a pipeline requiring less labeled data.
1 code implementation • 13 Mar 2023 • Shuchang Shen, Sachith Seneviratne, Xinye Wanyan, Michael Kirley
Inspired by the abundance of publicly available remote sensing projects and the burgeoning development of deep learning in computer vision, our research focuses on assessing fire risk using remote sensing imagery.
Ranked #1 on Remote Sensing Image Classification on FireRisk
1 code implementation • 12 Mar 2023 • Xinye Wanyan, Sachith Seneviratne, Shuchang Shen, Michael Kirley
While prior studies have explored multiple self-supervised learning techniques in remote sensing domain, pretext tasks based on local-global view alignment remain underexplored, despite achieving state-of-the-art results on natural imagery.
Ranked #1 on Multi-Label Image Classification on BigEarthNet-10% (using extra training data)