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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 5.

Performance trends of Only-Sup, Full-Sup, and the proposed method on four baseline models (EMSCA-UNet, RFI-Net, R-Net7, and U-Net). Each subplot has two panels: the left shows the F1 score and the right shows the Boundary F1 score. Red circles denote Only-Sup, green squares denote the proposed method, and yellow stars denote Full-Sup.

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