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Bridging the Synthetic-to-Real Gap for Few-Shot Cryo-ET Classification

Bharadwaj, Siddhant et al.
arXiv (OAI Expanded) · Papers
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computer-vision-and-pattern-recognitionmachine-learning
Subtomogram classification in cryo-electron tomography (cryo-ET) is a challenging problem due to the scarcity of labeled examples. While cryo-ET simulators can be adopted to generate unlimited synthetic data, the substantial domain gap between synthetic and real subtomograms hinders its practical ut
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