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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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.