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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 10.

Memory bank capacity sensitivity analysis. From left to right, the three heatmaps visualize the grid search results for F1, F2, and Boundary F1 scores. The vertical axis represents the labeled memory bank capacity NL, while the horizontal axis represents the ratio between the unlabeled and labeled memory banks γ. Darker colors indicate better performance.

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