Multi-Head Encoding for Extreme Label Classification

The number of categories of instances in the real world is normally huge, and each instance may contain multiple labels. To distinguish these massive labels utilizing machine learning, eXtreme Label Classification (XLC) has been established. However, as the number of categories increases, the number...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2025, p.1-14
Hauptverfasser:	Liang, Daojun, Zhang, Haixia, Yuan, Dongfeng, Zhang, Minggao
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Encoding extreme label classification EXtreme Multi-label Classification Face recognition Magnetic heads multi-head encoding Semantics Tensors Testing Training Vectors Vocabulary
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