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Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data

Research article (2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019) · cited 156× · AI/ML
academia openalex:W2954884160
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Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data

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Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-and-reducing-the-damage-of-dataset-bias-to-face-recognition-with-synthetic-data
MLA “Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-and-reducing-the-damage-of-dataset-bias-to-face-recognition-with-synthetic-data.
BibTeX @misc{4ortxyz_analyzing-and-reducing-the-damage-of-dataset-bias-to-face-recognition-with-synthetic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing and Reducing the Damage of Dataset Bias to Face Recognition With Synthetic Data}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-and-reducing-the-damage-of-dataset-bias-to-face-recognition-with-synthetic-data}, note = {Accessed: 2026-05-24}}
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