Search Results for author:
Found 2 papers, 0 papers with code
Multi-level Cross-modal Interaction Network for RGB-D Salient Object Detection
Our MCI-Net includes two key components: 1) a cross-modal feature learning network, which is used to learn the high-level features for the RGB images and depth cues, effectively enabling the correlations between the two sources to be exploited; and 2) a multi-level interactive integration network, which integrates multi-level cross-modal features to boost the SOD performance.
Contrast-weighted Dictionary Learning Based Saliency Detection for Remote Sensing Images
Furthermore, by using the proposed joint saliency measure, a variety of saliency maps are generated based on the discriminant dictionary.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
