15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning

• URL: http://arxiv.org/abs/2506.11049v3
• Date: Tue, 05 Aug 2025 20:30:07 GMT
• Title: 15,500 Seconds: Lean UAV Classification Using EfficientNet and Lightweight Fine-Tuning
• Authors: Andrew P. Berg, Qian Zhang, Mia Y. Wang,
• Abstract summary: Unmanned Aerial Vehicles (UAVs) pose an escalating security concerns as the market for consumer and military UAVs grows.<n>This paper address the critical data scarcity challenges in deep UAV audio classification.
• Score: 2.3354223046061016
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: Unmanned Aerial Vehicles (UAVs) pose an escalating security concerns as the market for consumer and military UAVs grows. This paper address the critical data scarcity challenges in deep UAV audio classification. We build upon our previous work expanding novel approaches such as: parameter efficient fine-tuning, data augmentation, and pre-trained networks. We achieve performance upwards of 95\% validation accuracy with EfficientNet-B0.

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