Top-down saliency detection driven by visual classification
نویسندگان
چکیده
منابع مشابه
Top-Down Saliency Detection Driven by Visual Classification
This paper presents an approach for top-down saliency detection guided by visual classification tasks. We first learn how to compute visual saliency when a specific visual task has to be accomplished, as opposed to most state-of-theart methods which assess saliency merely through bottom-up principles. Afterwards, we investigate if and to what extent visual saliency can support visual classifica...
متن کاملAction-Driven Object Detection with Top-Down Visual Attentions
A dominant paradigm for deep learning based object detection relies on a “bottom-up” approach using “passive” scoring of class agnostic proposals. These approaches are efficient but lack of holistic analysis of scene-level context. In this paper, we present an “action-driven” detection mechanism using our “top-down” visual attention model. We localize an object by taking sequential actions that...
متن کاملTop-Down Visual Saliency Detection in Optical Satellite Images Based on Local Adaptive Regression Kernel
This paper proposes a novel top-down visual saliency detection method for optical satellite images using local adaptive regression kernels. This method provides a saliency map by measuring the likeness of image patches to a given single template image. The local adaptive regression kernel (LARK) is used as a descriptor to extract feature and compare against analogous feature from the target ima...
متن کاملTag-Saliency: Combining bottom-up and top-down information for saliency detection
In the real world, people often have a habit tending to pay more attention to some things usually noteworthy, while ignore others. This phenomenon is associated with the top-down attention. Modeling this kind of attention has recently raised many interests in computer vision due to a wide range of practical applications. Majority of the existing models are based on eye-tracking or object detect...
متن کاملSUN: Top-down saliency using natural statistics.
When people try to find particular objects in natural scenes they make extensive use of knowledge about how and where objects tend to appear in a scene. Although many forms of such "top-down" knowledge have been incorporated into saliency map models of visual search, surprisingly, the role of object appearance has been infrequently investigated. Here we present an appearance-based saliency mode...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computer Vision and Image Understanding
سال: 2018
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2018.03.005