MFC-Net: Multi-feature fusion cross neural network for salient object detection

Zhenyu Wang, Yunzhou Zhang, Yan Liu, Shichang Liu, Sonya Coleman, Dermot Kerr

    Research output: Contribution to journalArticlepeer-review


    Although methods based on the fully convolutional neural networks (FCNs) have shown strong advantages in the field of salient object detection, the existing methods still have two challenging issues: insufficient multi-level feature fusion ability and boundary blur. To overcome these issues, we propose a novel salient object detection method based on a multi-feature fusion cross network (denoted MFC-Net). Firstly, to overcome the issue of insufficient multi-level feature fusion ability, inspired by the connection mode of human brain neurons, we propose a novel cross network framework, combined with contextual feature transfer modules (CFTMs) to integrate, enhance and transmit multi-level feature information in an iterative manner. Secondly, to address the issue of blurred boundaries, we effectively enhance the edge features of saliency map by a simple edge enhancement strategy. Thirdly, to reduce the loss of information caused by the saliency map generated by multi-level feature fusion, we use feature fusion modules (FFMs) to learn contextual feature information from multiple angles and then output the resulting saliency map. Finally, a hybrid loss function fully supervises the network at the pixel and object level, optimizing the network performance. The proposed MFC-Net has been evaluated using five benchmark datasets. The performance evaluation demonstrates that the proposed method outperforms other state-of-the-art methods, which proves the superiority of MFC-Net approach.

    Original languageEnglish
    Article number104243
    JournalImage and Vision Computing
    Early online date30 Jun 2021
    Publication statusPublished - 1 Sep 2021


    • Contextual feature transfer
    • Cross network framework
    • Feature fusion
    • Salient object detection


    Dive into the research topics of 'MFC-Net: Multi-feature fusion cross neural network for salient object detection'. Together they form a unique fingerprint.

    Cite this