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A Comparison of Bottom-Up Models for Spatial Saliency Predictions in Autonomous Driving

Bottom-up saliency models identify the salient regions of an image based on features such as color, intensity and orientation. These models are typically used as predictors of human visual behavior and for computer vision tasks. In this paper, we conduct a systematic evaluation of the saliency maps...

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Principais autores: Jaime Maldonado, Lino Antoni Giefer
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-10-01
Serier:Sensors
Fag:
autonomous driving
bottom-up saliency models
perception
saliency detection
saliency maps
visual salience
Online adgang:https://www.mdpi.com/1424-8220/21/20/6825
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