Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection. (arXiv:2206.03105v1 [cs.CV])

Salient Object Detection is the task of predicting the human attended region
in a given scene. Fusing depth information has been proven effective in this
task. The main challenge of this problem is how to aggregate the complementary
information from RGB modality and depth modality. However, conventional deep
models heavily rely on CNN feature extractors, and the long-range contextual
dependencies are usually ignored. In this work, we propose Dual
Swin-Transformer based Mutual Interactive Network. We adopt Swin-Transformer as
the feature …

arxiv cv detection interactive network swin transformer