HIGHLIGHTS
- What: To address this limitation the authors propose a and False Alarm Collaborative Detection Network to leverage the information provided by false alarm sources and the background. Subsequently the authors propose a framework that employs multiple FEBs to eliminate false alarm sources across different scales. Studying single-frame detection methods is prevalent, and the authors focus on the single-frame method in this paper. Taking into account the practical needs and the advantages and drawbacks of the aforementioned methods, the objectives of this research are to employ DNN techniques that make use of information from both targets . . .

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