… -salient objects makes a dataset more realistic, and hence more challenging. We define “non-salient
objects” as images without salient objects … (a) densely distributed similar objects, (b) …

… We provide a comprehensive evaluation of salient object de… one clearly outstanding salient
object in low clutter. The design … Specifically, our SOC (Salient Objects in Clutter) dataset, …

… that observers can use the salient part to predict the … object in a random pose against a
background of clutter. Because this background clutter closely resembled some parts of the object…

Observers in recognition experiments invariably view objects against a blank background,
whereas observers of real scenes sometimes view objects against dense clutter. In this study, …

… In this paper we are interested in examining search for a category target in clutter. The
important characteristics of this task are that the target is not well-specified, the target is not salient…

… individual objects. We propose a method for the selection of salient regions likely to contain
objects… can enable one-shot learning of multiple objects from complex scenes, and that it can …

… lighting clutter as one of the influential factors in the visual saliency of urban objects. …
participants were required to report in which image the urban object appeared more salient. …

… object images and cluttered images with multiple objects on an … and in combination with the
salient-region detection method … to satisfactorily locate multiple objects in clutter color images …

… field stands out relative to its surroundings, and clutter is a measure of how much visual … the
effects of visual salience and clutter in a visual search task in e-commerce pages. Clutter was …

… It also means that, for a given object, different visual attributes will be salient in different …
most salient to distinguish a red apple from a red car, color and texture will be most salient when …