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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 7.

Comparison of inference time for different models on HERA and LOFAR datasets. The average inference time per single sample is reported. Red, blue, and gray bars denote our proposed method, the Only-Sup baseline, and comparative methods (AOFlagger, NLN, and RFDL), respectively.

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