This paper proposes a methodology for obtaining ground truth saliency maps to measure the effectiveness of ROI detection by considering the role of user ...
Detection of Region of Interest (ROI) in a video leads to more efficient utilization of bandwidth. This is because any. ROIs in a given frame can be encoded ...
One approach to determine ROIs is to use saliency detectors to locate salient regions. This paper proposes a methodology for obtaining ground truth saliency ...
Sep 8, 2022 · We propose a method for predicting the optimal set of Region of Interest (RoI) from a single 360° image using the visual saliency as a clue.
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Mar 29, 2018 · In PCHS, saliency maps are obtained by computing co-occurrence histogram of panchromatic images, which aim to enhance the saliency of ROIs.
May 14, 2024 · This paper suggests a robust and effective methodology for salient object detection. This method involves two main stages.
Saliency detection is defined as the process of detecting, locating, and segmenting important regions and salient objects from visual imagery.
Jun 22, 2024 · In this paper, we proposed an image-based saliency framework to enhance the explainability of deep learning models in medical image analysis.
Jun 3, 2018 · Then, saliency maps were developed based on the Fourier transform phase spectra. Salient region detection was conducted to obtain a binary image ...
A saliency map assigns a score to each input pixel specifying how 'important' it was for the model performing the task. In this paper, we use Integrated ...