LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection

The utilization of prior knowledge about anomalies is an essential issue for anomaly detections. Recently, the visual attention mechanism has become a promising way to improve the performance of CNNs for some computer vision tasks. In this paper, we propose a novel model called Layer-wise External A...

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Veröffentlicht in:	arXiv.org 2021-09
Hauptverfasser:	Katafuchi, Ryoya, Tokunaga, Terumasa
Format:	Artikel
Sprache:	eng
Schlagworte:	Anomalies Color Computer vision Datasets Knowledge representation Performance enhancement
Online-Zugang:	Volltext
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