Abstract: This paper presents our semi-supervised acoustic scene classification (ASC) framework submitted to the APSIPA ASC 2025 Grand Challenge, which focuses on city- and timeaware ASC under limited ...
Abstract: With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect.
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