Maximum Entropy Regularization and Chinese Text Recognition [article]

Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu
<span title="2020-07-09">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem. We propose to apply Maximum Entropy Regularization to regularize the training process, which is to simply add a negative entropy term to the canonical cross-entropy loss without any additional parameters and modification of a model. We theoretically give the convergence probability distribution
more &raquo; ... d analyze how the regularization influence the learning process. Experiments on Chinese character recognition, Chinese text line recognition and fine-grained image classification achieve consistent improvement, proving that the regularization is beneficial to generalization and robustness of a recognition model.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.04651v1">arXiv:2007.04651v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/3tahtsd7w5gpjehtjwnnsw6gku">fatcat:3tahtsd7w5gpjehtjwnnsw6gku</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200711112301/https://arxiv.org/pdf/2007.04651v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/39/fb/39fbc28432a78e72fa288c21b0f95515aec1500c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2007.04651v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>