Salient object detection for RGBD video via spatial interaction and depth-based boundary refinement
Abstract Recently proposed state-of-the-art saliency detection models rely heavily on labeled datasets and rarely focus on perfect RGBD feature fusion, which lowers their generalization ability. In this paper, we propose a depth-based interaction and refinement network (DIR-Net) to fully leverage th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2023-05-01
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| Series: | Complex & Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40747-023-01072-w |