Machine learningDeep learning / NLP / CV
半监督实例分割
半监督实例分割训练模型，使其能够利用少量标注数据集和大量未标注图像语料库，检测并描绘图像中的每个目标实例。通过从未标注图像上的高置信度预测中生成伪标签，并在数据增强下强制执行一致性，该方法以远低于完全标注成本的代价，实现了具有竞争力的掩码精度。
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来源
- Hu, H., Wei, P., Zheng, H., Bai, X., Wei, Y., & Chen, Y. (2021). Semi-supervised Semantic Segmentation via Adaptive Equalization Learning. Advances in Neural Information Processing Systems (NeurIPS), 34, 22106–22118. link ↗
- Xu, M., Zhang, Z., Wei, F., Hu, H., Bai, X., & Jiang, Y.-G. (2021). End-to-End Semi-Supervised Object Detection with Soft Teacher. IEEE/CVF International Conference on Computer Vision (ICCV), 3060–3069. link ↗
如何引用本页
ScholarGate. (2026, June 3). Semi-supervised Instance Segmentation. ScholarGate. https://scholargate.app/zh/deep-learning/semi-supervised-instance-segmentation
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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