Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2024) · cited 12× · AI/ML
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Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach

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Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/self-distillation-regularized-connectionist-temporal-classification-loss-for-text-recognition-a-simple-yet-effective-app
MLA “Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/self-distillation-regularized-connectionist-temporal-classification-loss-for-text-recognition-a-simple-yet-effective-app.
BibTeX @misc{4ortxyz_self-distillation-regularized-connectionist-temporal-classification-loss-for-text-recognition-a-simple-yet-effective-app_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach}}, year = {2026}, url = {https://4ort.xyz/entity/self-distillation-regularized-connectionist-temporal-classification-loss-for-text-recognition-a-simple-yet-effective-app}, note = {Accessed: 2026-05-24}}
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