Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition

Research article (2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), 2017) · cited 23× · AI/ML
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Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition

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Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition. Retrieved May 24, 2026, from https://4ort.xyz/entity/combination-of-resnet-and-center-loss-based-metric-learning-for-handwritten-chinese-character-recognition
MLA “Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/combination-of-resnet-and-center-loss-based-metric-learning-for-handwritten-chinese-character-recognition.
BibTeX @misc{4ortxyz_combination-of-resnet-and-center-loss-based-metric-learning-for-handwritten-chinese-character-recognition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Combination of ResNet and Center Loss Based Metric Learning for Handwritten Chinese Character Recognition}}, year = {2026}, url = {https://4ort.xyz/entity/combination-of-resnet-and-center-loss-based-metric-learning-for-handwritten-chinese-character-recognition}, note = {Accessed: 2026-05-24}}
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