Deep Salient Object Detection With Dense Connections and Distraction Diagnosis.
IEEE Transactions on Multimedia(2018)
摘要
In this paper, we propose two novel components for improving deep salient object detection models. The first component, called saliency detection network (S-Net), introduces dense short- and long-range connections that effectively integrate multiscale features to better exploit contexts at multiple levels. Benefiting from the direct access to low- and high-level features, the S-Net can not only ex...
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关键词
Saliency detection,Object detection,Feature extraction,Image segmentation,Computational modeling,Deep learning,Neural networks
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