Recursive multi-model complementary deep fusion for robust salient object detection via parallel sub-networks

•We utilize parallel sub networks to automatically reveal saliency clues at different spatial levels.•We propose an end-to-end salient object detection model that learns diversity saliency clues in an iterative manner.•We also provide a novel selective fusion strategy to fuse multi-model saliency clues for a high-performance salient object detection.