All losses show a decreasing trend and converge in a pattern consistent with the training set, indicating that the model does not suffer from significant overfitting and possesses good generalization capabilities.
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YOLO-DST: MEMS Small-Object Defect Detection Method Based on Dynamic Channel-Spatial Modeling and Multi-Attention Fusion.
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