Skip to main content
Fig. 2 | EURASIP Journal on Audio, Speech, and Music Processing

Fig. 2

From: Training audio transformers for cover song identification

Fig. 2

Motivation of using MAPLoss. From a, we can see that while purely classification loss can facilitate successful identification of each class, the minimal inter-class distance may result in erroneous version retrievals. The integration of MAPLoss, as depicted in b, aims to enhance intra-class compactness and inter-class separation. As a result, this approach can achieve better retrieval performance, i.e., MAP in this work

Back to article page