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Semi-supervised Semantic Segmentation/Ushahidi
Rekodi ya ushahidi wa mbinu

Semi-supervised Semantic Segmentation

Semi-supervised semantic segmentation trains pixel-level labeling models using a small set of fully labeled images combined with a much larger set of unlabeled images. Techniques such as pseudo-labeling and consistency regularization extract supervisory signal from unlabeled data, making it possible to achieve near-fully-supervised accuracy at a fraction of the annotation cost.

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Semi-supervised Semantic Segmentation (Pseudo-label and Consistency-based)
Rekodi ya mbinu ya kiajenda · ml-model / deep-learning
  • Ouali, Y., Hudelot, C., & Tami, M. (2020). Semi-Supervised Semantic Segmentation with Cross-Consistency Training. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 12674–12684. · DOI 10.1109/CVPR42600.2020.01269
  • Zou, Y., Zhang, Z., Zhang, H., Li, C.-L., Bian, X., Huang, J.-B., & Pfister, T. (2020). PseudoSeg: Designing Pseudo Labels for Semantic Segmentation. International Conference on Learning Representations (ICLR 2021). · URL
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Taxonomic bucketInstance Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSelf-supervised Semantic Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemantic Segmentationmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSemi-supervised Convolutional Neural Networkmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeakly Supervised Semantic Segmentationmachine-suggested · Relational suggestion, not evidence.

Hali ya ushahidi

Sources recorded, not reviewed

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