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(TMM2024) FasterSal: Robust and Real-time Single-Stream Architecture for RGB-D Salient Object Detection

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FasterSal: Robust and Real-time Single-Stream Architecture for RGB-D Salient Object Detection

Update

We are happy to announce that our manuscript "FasterSal: Robust and Real-time Single-Stream Architecture for RGB-D Salient Object Detection" has been accepted for publication in IEEE Transactions on Multimedia (TMM).

You can access the paper through the following link:
FasterSal: Robust and Real-time Single-Stream Architecture for RGB-D Salient Object Detection - IEEE Xplore

Open Source Code

All code related to FasterSal will be open-sourced once the manuscript is accepted and made publicly available. We appreciate your patience and will update this repository with the code in due course.

Result Maps

Performance Our predicted maps on the RGBD SOD datasets can be found at the following Google Drive Link.

Datasets

The training and testing datasets used in our experiments can be accessed at the following GitHub Repository.

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(TMM2024) FasterSal: Robust and Real-time Single-Stream Architecture for RGB-D Salient Object Detection

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