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Found 2 papers, 2 papers with code
Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery
To our knowledge, these are the first DG benchmarking datasets tailored for object detection in real-world, high-impact contexts.
Audio-based drone detection and identification using deep learning techniques with dataset enhancement through generative adversarial networks
In this paper, we aim to fill this gap by introducing a hybrid drone acoustic dataset composed of recorded drone audio clips and artificially generated drone audio samples using a state-of-the-art deep learning technique known as the Generative Adversarial Network.
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