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Uncertainty-aware Salient Object Detection

Zhang, Jing


Saliency detection models are trained to discover the region(s) of an image that attract human attention. According to whether depth data is used, static image saliency detection models can be divided into RGB image saliency detection models, and RGB-D image saliency detection models. The former predict salient regions of the RGB image, while the latter take both the RGB image and the depth data as input. Conventional saliency prediction models typically learn a deterministic mapping from...[Show more]

CollectionsOpen Access Theses
Date published: 2021
Type: Thesis (PhD)
DOI: 10.25911/4AJ0-6T66


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