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Group attention retention network for co-salient object detection

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Abstract

The co-salient object detection (Co-SOD) aims to discover common, salient objects from a group of images. With the development of convolutional neural networks, the performance of Co-SOD methods has been significantly improved. However, some models cannot construct collaborative relationships across images optimally and lack effective retention of collaborative features in the top-down decoding process. In this paper, we propose a novel group attention retention network (GARNet), which captures excellent collaborative features and retains them. First, a group attention module is designed to construct the inter-image relationships. Second, an attention retention module and a spatial attention module are designed to retain inter-image relationships for protecting them from being diluted and filter out the cluttered context during feature fusion, respectively. Finally, considering the intra-group consistency and inter-group separability of images, an embedding loss is additionally designed to discriminate between real collaborative objects and distracting objects. The experiments on four datasets (iCoSeg, CoSal2015, CoSoD3k, and CoCA) show that our GARNet outperforms previous state-of-the-art methods. The source code is available at https://github.com/TJUMMG/GARNet.

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Acknowledgements

This work is supported in part by Shanghai Rising Star Project under grant 23QA1408800, in part by 166 Project under grant 211-CXCY-M115-00-01-01, and in part by National Science Foundation of China under Grant 62371333.

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  1. The School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China

    Jing Liu, Jiaxiang Wang, Zhiwei Fan, Min Yuan, Weikang Wang & Jiexiao Yu

  2. Key Laboratory of Artificial Intelligence, Ministry of Education, Shanghai, 200240, China

    Jing Liu

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Liu, J., Wang, J., Fan, Z. et al. Group attention retention network for co-salient object detection. Machine Vision and Applications 34, 107 (2023). https://doi.org/10.1007/s00138-023-01462-7

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