期刊论文Semi-supervised semantic segmentation with high-and low-level consistency复制

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S Mittal, M Tatarchenko, T Brox
IEEE transactions on pattern …, 2019
ieeexplore.ieee.org
The ability to understand visual information from limited labeled data is an important aspect of machine learning. While image-level classification has been extensively studied in a semi-supervised setting, dense pixel-level classification with limited data has only drawn attention recently. In this work, we propose an approach for semi-supervised semantic segmentation that learns from limited pixel-wise annotated samples while exploiting additional annotation-free images. The proposed approach relies on adversarial training with a feature matching …