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This is the official repo for DBSNet, Dual Backbone Segmentation Network.

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This is the official repo for DBSNet created by Yuxiang Fu, from School of Computer Science, NUIST, Nanjing, China.

Reference

[1] C. Xie, C. Xia, M. Ma, Z. Zhao, X. Chen and J. Li, “Pyramid Grafting Network for One-Stage High Resolution Saliency Detection,” in Proc. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 2022, pp. 11707-11716, doi: 10.1109/CVPR52688.2022.01142.

[2] Chen, LC., Zhu, Y., Papandreou, G., Schroff, F., Adam, H., “Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation,” in Proc. Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds) Computer Vision – ECCV 2018. ECCV 2018. Lecture Notes in Computer Science(), vol 11211. Springer, Cham. https://doi.org/10.1007/978-3-030-01234-2_49

[3] X. Qin, Z. Zhang, C. Huang, C. Gao, M. Dehghan and M. Jagersand, “BASNet: Boundary-Aware Salient Object Detection,” in Proc. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, USA, 2019, pp. 7471-7481, doi: 10.1109/CVPR.2019.00766.

[4] K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR), Jun. 2016, pp. 770–778.

[5] Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, and Ling Shao, “Pyramid vision transformer: A versatile backbone for dense prediction without convolutions,” in Proc. the IEEE/CVF International Conference on Computer Vision (ICCV), pages 568–578, October 2021.

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