Interactive segmentation based on multiscale feature cascading
Author:
Funder
National Natural Science Foundation of China
Postgraduate Research & Practice Innovation Program of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05824-0.pdf
Reference36 articles.
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2. Ding Z, Wang T, Sun Q, Chen F (2022) Rethinking click embedding for deep interactive image segmentation. IEEE Trans Industr Inf 19(1):261–273. https://doi.org/10.1109/TII.2022.3157319
3. Zhang S, Liew JH, Wei Y, Wei S, Zhao Y (2020) Interactive object segmentation with inside-outside guidance. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12234–12244. https://doi.org/10.1109/TPAMI.2022.3227116
4. Kirillov A, Wu Y, He K, Girshick R (2020) Pointrend: image segmentation as rendering. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 9799–9808. https://doi.org/10.1109/CVPR42600.2020.00982
5. Ronneberger O, Fischer P, Brox T (2015) U-net: convolutional networks for biomedical image segmentation. In: Medical image computing and computer-assisted intervention–MICCAI 2015: 18th international conference, Munich, Germany, October 5-9, 2015, Proceedings, Part III 18, pp 234–241. Springer. https://doi.org/10.1007/978-3-319-24574-4_28
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