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This mechanism enables the method to explore various salient objects adaptively.
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Later, a lot of research efforts have been made to design various saliency features characterizing salient objects or regions.
This enables the method to achieve good robustness and precision in identifying salient objects in videos under various challenging conditions.
With fixations and salient object being presented simultaneously, we are able to bridge the gap between fixations and salient objects, and propose a novel method for salient object segmentation.
On the contrary, the newly hatched birds are attracted toward salient objects, particularly ones that move.
Finally, we report significant benchmark progress on three existing datasets of segmenting salient objects.
In this paper, we design a new approach to detect salient objects from an image by describing what does salient objects and backgrounds look like using statistic of the image.
Therefore, in this paper we propose a novel spatiotemporal saliency model to estimate salient objects in unconstrained videos.
This MRF-based fusion model enables the accurate estimation of region-based fusion weights for the salient objects or structures.
Lewis says that it is the salient objects.
In combining them, salient objects appearing strongly in a few maps may be masked by noise or less salient objects present in a larger number of maps.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com