YOSO applies a Gaussian Motion Filter to detect faint slow-moving Solar System objects in wide-field images, recovering known targets and identifying new ones with very low false positives.
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3 Pith papers cite this work. Polarity classification is still indexing.
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A ResNet-34 classifier achieves 98.83% accuracy on six stellar density categories while a ResNet-50 regressor predicts bright-star counts with 0.0824 dex MAE for CSST image processing.
SAGES releases first DDO51 photometry for over 10 million stars across 2500 deg², confirming photometric dwarf-giant separation for late-type stars.
citing papers explorer
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You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources
YOSO applies a Gaussian Motion Filter to detect faint slow-moving Solar System objects in wide-field images, recovering known targets and identifying new ones with very low false positives.
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Stellar Density Classification and Regression for CSST Multi-color Imaging Using Deep Learning
A ResNet-34 classifier achieves 98.83% accuracy on six stellar density categories while a ResNet-50 regressor predicts bright-star counts with 0.0824 dex MAE for CSST image processing.
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The Stellar Abundances and Galactic Evolution Survey (SAGES). V. The First Data Release of the DDO51 Band
SAGES releases first DDO51 photometry for over 10 million stars across 2500 deg², confirming photometric dwarf-giant separation for late-type stars.