A ResNet-50 and BiLSTM multi-modal fusion network achieves 99.81% galaxy recall and 99.66% star recall on a CSST simulated dataset of 125,896 objects.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets
A ResNet-50 and BiLSTM multi-modal fusion network achieves 99.81% galaxy recall and 99.66% star recall on a CSST simulated dataset of 125,896 objects.