Automated detection of label errors in semantic segmentation datasets via deep learning and uncertainty quantification

M Rottmann, M Reese - … of the IEEE/CVF Winter Conference …, 2023 - openaccess.thecvf.com
In this work, we for the first time present a method for detecting labeling errors in image
datasets with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for …
被引用次数：23 相关文章

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese - 2023 IEEE/CVF Winter Conference on …, 2023 - infoscience.epfl.ch
In this work, we present for the first time a method for detecting label errors in image datasets
with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for semantic …

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese - 2023 IEEE/CVF Winter Conference on …, 2023 - ieeexplore.ieee.org
In this work, we present for the first time a method for detecting label errors in image datasets
with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for semantic …

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese - arXiv preprint arXiv:2207.06104, 2022 - arxiv.org
In this work, we for the first time present a method for detecting label errors in image datasets
with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for semantic …

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
In this work, we for the first time present a method for detecting label errors in image datasets
with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for semantic …

Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese - 2023 IEEE/CVF Winter Conference on …, 2023 - computer.org
In this work, we present for the first time a method for detecting label errors in image datasets
with semantic segmentation, ie, pixel-wise class labels. Annotation acquisition for semantic …

[引用][C] Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

M Rottmann, M Reese