Abstract Recent advances in machine learning and computer vision have led to widespread use of these technologies in the industrial sector. Quality control and production counting are the most important applications. This article describes a solution for counting products in an industrial production line. It consists of two main modules: i) hardware infrastructure and ii)… Continuar lendo A Deep Learning Approach for Automatic Counting of Bales and Product Boxes in Industrial Production Lines
Abstract We propose in this work a new approach that aims to transform a classification corpus into an STS (Semantic Textual Similarity) one. In that sense, we use BERT (Bidirectional Encoder Representations from Transformers) to validate our hypothesis, i.e., a multi-level classification dataset can be converted into an STS dataset which improves the fine-tuning step… Continuar lendo JurisBERT: A New Approach that Converts a Classification Corpus into an STS One
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