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A Semisupervised Approach Using the Adaptive Threshold Mechanism and Boundary-aware Learning for Radio-frequency Interference Segmentation

  • Authors: Suxun Zhu, Jing Jin, Yi Liu, Hongyang Zhao

Suxun Zhu et al 2026 The Astrophysical Journal Supplement Series 284 .

  • Provider: AAS Journals

Caption: Figure 2.

Inference process. The teacher model performs forward inference on the input data to generate an RFI prediction probability map. The predictions are compared with the ground truth to compute the area under the receiver operating curve (AUROC), the area under the precision–recall curve (AUPRC), the F1/F2 score, and the Boundary F1 score. A difference map is also produced.

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