MambaDSF: Multi-Scale SSM with Dilated Feature Fusion for Sonar Small Target Detection 事件

MambaDSF: Multi-Scale SSM with Dilated Feature Fusion for Sonar Small Target Detection arXiv:2605.24928v1 Announce Type: new Abstract: Sonar imaging is the primary modality for underwater target detection, yet small targets remain difficult to detect due to insufficient pixel coverage, low acoustic contrast, and scale ambiguity across imaging ranges. CNN-based detectors extract local features efficiently but cannot suppress noise-induced false alarms without global acoustic context. Transformer