Search Results for author: Conor Nixon

Found 2 papers, 1 papers with code

Rapid Automated Mapping of Clouds on Titan With Instance Segmentation

1 code implementation • 8 Jan 2025 • Zachary Yahn, Douglas M Trent, Ethan Duncan, Benoît Seignovert, John Santerre, Conor Nixon

Despite widespread adoption of deep learning models to address a variety of computer vision tasks, planetary science has yet to see extensive utilization of such tools to address its unique problems.

Instance Segmentation Semantic Segmentation +1

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Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning

no code implementations • 26 Oct 2023 • Conor Nixon, Zachary Yahn, Ethan Duncan, Ian Neidel, Alyssa Mills, Benoît Seignovert, Andrew Larsen, Kathryn Gansler, Charles Liles, Catherine Walker, Douglas Trent, John Santerre

In a different application, we applied the Mask R-CNN to recognize clouds on Titan, again through updated training followed by testing against new data, with a precision of 95% over 369 images.

Transfer Learning

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