A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s11263-020-01373-4.pdf
Reference104 articles.
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2. Ahn, J., Cho, S., & Kwak, S. (2019). Weakly supervised learning of instance segmentation with inter-pixel relations. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 2209–2218.
3. Aresta, G., et al. (2018). BACH: Grand challenge on breast cancer histology images. In CoRR. arXiv preprint arXiv:1808.04277.
4. Audebert, N., Le Saux, B., & Lefèvre, S. (2017). Segment-before-detect: Vehicle detection and classification through semantic segmentation of aerial images. Remote Sensing, 9(4), 368.
5. Bearman, A., Russakovsky, O., Ferrari, V., & Fei-Fei, L. (2016). What’s the point: Semantic segmentation with point supervision. In European conference on computer vision, Springer, pp. 549–565.
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