Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention

A few-shot personalized saliency prediction based on adaptive image selection considering object and visual attention is presented in this paper. Since general methods predicting personalized saliency maps (PSMs) need a large number of training images, the establishment of a theory using a small num...

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Bibliographic Details
Main Authors: Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
personalized saliency map
adaptive image selection
multi-task CNN
object detection
Online Access:https://www.mdpi.com/1424-8220/20/8/2170

Internet

https://www.mdpi.com/1424-8220/20/8/2170

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