In this paper, we propose a new saliency detection model with a combination of superpixel segmentation and eye tracking data.
Salient object detection aims to detect the region of interest in an image and provides an efficient solution for image semantic understanding. Eye tracking ...
Salient object detection based on eye tracking data - NASA/ADS
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Abstract. Salient object detection aims to detect the region of interest in an image and provides an efficient solution for image semantic understanding.
Eye tracking technology is an efficient tool for salient objects detection.Combining the background superpixels with low saliency values can upgrade the model.
A novel method that integrates spatial features for efficient and robust representation to capture meaningful information about the salient objects and ...
Salient object detection aims to detect the region of interest in an image and provides an efficient solution for image semantic understanding. Eye tracking ...
Nov 18, 2021 · In this work, we explore the opportunities to use object recognition models to assign mobile eye-tracking data for real objects during an authentic students' ...
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May 10, 2024 · This paper presents a mini-review of recent works in Salient Object Detection (SOD). First, We introduce SOD and its application in image processing tasks and ...
The database comprises fixation patterns acquired using an eye-tracker, as subjects free-viewed images corresponding to many semantic categories such as faces ( ...
Feb 3, 2022 · We proposed a real-time salient object detection network named increase-decrease YOLO (ID-YOLO) to discriminate the critical objects within the drivers' ...