A RESIDUAL-ATTENTION OFFLINE HANDWRITTEN CHINESE TEXT RECOGNITION BASED ON FULLY CONVOLUTIONAL NEURAL NETWORKS

A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks

Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.In this paper, we propose a residual-attention offline handwritten Chinese text recognition based on fully convolutional neural networks, which is segmenta

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Ecological significance of assimilate distribution in Agropyron repens clones under influence of the copper smelter Legnica

The studies on couch grass (Agropyron repens (L.) P.Beauv.) populations growing in stress conditions in close vicinity of a copper smelter concern the integrity of clonal structure.The connections of tillers within a clone and the interclonal integrity was investigated by means of assimilate translocation, using 14C.It was found that WILD PACIFIC S

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Deep-Learning-Based Digitization of Protein-Self-Assembly to Print Biodegradable Physically Unclonable Labels for Device Security

The increasingly pervasive problem of counterfeiting affects both individuals and industry.In particular, public health and medical fields face threats to device authenticity and patient privacy, especially in the post-pandemic era.Physical unclonable functions (PUFs) present a modern solution using copyright-proof security labels to securely authe

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