Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection

•The HyperFusion-Net is proposed to learn complementary reflective features in the fusion view.•A hyper-dense fusion method is proposed to integrate the global and local multi-scale features.•The proposed method can capture clear object boundaries and spatially consistent saliency.•State-of-the-art performance on seven challenging large-scale saliency benchmarks is achieved.