Abstract: Radar-based micro-Doppler spectrograms offer a robust representation for classifying aerial objects, particularly small Uncrewed Aerial Vehicles (UAVs), in scenarios where optical sensing is ...
This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" [IEEE MLSP 2024] and "Efficient Fine-tuning of Audio Spectrogram Transformers ...
Abstract: Recent advancements in the domain of computer vision have enabled the analysis of audio spectrograms. In this paper, we present a novel approach that leverages spectrogram representations ...
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