Spectral salient object detection

Fu, Keren; Gu, Irene Yu‐Hua; Yang, Jie

doi:10.1016/j.neucom.2017.09.028

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Cited by 16 publications

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“…Wang et al [45] propose a deep learning model [46] to efficiently detect salient regions in videos. Fu et al [47] present a method, spectral salient object detection, that aims at maintaining objects holistically during pre-segmentation in order to provide more reliable feature extraction [48] from a complete object region and to facilitate object-level saliency estimation.…”

Section: Introductionmentioning

confidence: 99%

A Unified Model for Salient Object Detection

Alzahrani¹,

Afridi²

2019

Preprint

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We propose a novel method for salient object detection in different images. Our method integrates spatial features for efficient and robust representation to capture meaningful information about the salient objects. We then train a conditional random field (CRF) using the integrated features. The trained CRF model is then used to detect salient objects during the online testing stage. We perform experiments on two standard datasets and compare the performance of our method with different reference methods. Our experiments show that our method outperforms the compared methods in terms of precision, recall, and F-Measure.

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