EF-Net: A novel enhancement and fusion network for RGB-D saliency detection

•We propose a novel enhancement-and-fusion framework for effective RGB-D saliency detection.•We propose a novel depth enhancement model to improve the quality of depth maps and an effective layer-wise aggregation module to fuse the features extracted from RGB images and enhanced depth maps.•Extensive experiments on five RGB-D benchmark datasets demonstrate that our method outperforms 12 state-of-the-art saliency detection methods by a large margin.