This repository contains the implementation of the proposed BiFusHNet.
Note: The code will be made available to the research community upon the publication of the paper. Stay tuned for updates.
Saliency detection is crucial for various computer vision tasks. In this work, we introduce a novel approach BiFusHNet to achieve robust performance in uncertain and dynamic environments.
The detailed logics and descriptions of the method will be also made available to the research community.
The role of visual uncertainities will be explained in more detail with visual samples.
The empirical analysis, including performance metrics and qualitative samples across all evaluated datasets, will be made publicly available for the research community. This will enable qualitative comparison and further analysis by other researchers upon the publication of the paper.
The full codebase will be publicly released after the publication. It will support training, evaluation, and reproducibility of the results reported in the paper.
This project will be licensed under the MIT License upon release.