AutoClick: Auto Seed Selection for Interactive Segmentation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5597-4_24
Reference21 articles.
1. Xu, N., Price, B., et al.: Deep interactive object selection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 373–381 (2016)
2. Sofiiuk, K., Petrov, I.A., et al.: Reviving iterative training with mask guidance for interactive segmentation. In: 2022 IEEE International Conference on Image Processing (ICIP), pp. 3141–3145. IEEE (2022)
3. Xu, N., Price, B., et al.: Deep grabcut for object selection. arxiv preprint arxiv: 1707.00243 (2017)
4. Wu, J., Zhao, Y., et al.: Milcut: A sweeeping line multiple instance learning paradigm for interactive image segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 256–263 (2014)
5. Rother, C., Kolmogorov, V., et al.: “GrabCut” interactive foreground extraction using iterated graph cuts. ACM Trans. Graph. 23(3), 309–314 (2004)
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