Decision Fusion Networks for Image Classification

Convolutional neural networks, in which each layer receives features from the previous layer(s) and then aggregates/abstracts higher level features from them, are widely adopted for image classification. To avoid information loss during feature aggregation/abstraction and fully utilize lower layer f...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2022-08, Vol.PP, p.1-14
Hauptverfasser:	Tang, Keke, Ma, Yuexin, Miao, Dingruibo, Song, Peng, Gu, Zhaoquan, Tian, Zhihong, Wang, Wenping
Format:	Artikel
Sprache:	eng
Schlagworte:	Decision trees Feature extraction Image classification Image recognition Kernel network architecture neural networks Routing Semantics Training
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