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Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data

Research article (IEEE Transactions on Cybernetics, 2023) · cited 11× · AI/ML
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Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data

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Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data is a scholarly article[1].

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  • Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data's instance of is recorded as scholarly article[2].

Related Entities

Imre J. Rudas

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APA 4ort.xyz Knowledge Graph. (2026). Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/increasing-the-robustness-of-deep-learning-models-for-object-segmentation-a-framework-for-blending-automatically-annotat
MLA “Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/increasing-the-robustness-of-deep-learning-models-for-object-segmentation-a-framework-for-blending-automatically-annotat.
BibTeX @misc{4ortxyz_increasing-the-robustness-of-deep-learning-models-for-object-segmentation-a-framework-for-blending-automatically-annotat_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data}}, year = {2026}, url = {https://4ort.xyz/entity/increasing-the-robustness-of-deep-learning-models-for-object-segmentation-a-framework-for-blending-automatically-annotat}, note = {Accessed: 2026-05-24}}
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