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Chuanyun Xu, Hang Wang, Yang Zhang, Zheng Zhou and Gang Li
Few-shot learning refers to training a model with a few labeled data to effectively recognize unseen categories. Recently, numerous approaches have been suggested to improve the extraction of abundant feature information at hierarchical layers or multipl...
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Qiuyue Li, Hao Sheng, Mingxue Sheng and Honglin Wan
Efficient document recognition and sharing remain challenges in the healthcare, insurance, and finance sectors. One solution to this problem has been the use of deep learning techniques to automatically extract structured information from paper documents...
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Yanwei Sun, Shirin Malihi, Hao Li and Mehdi Maboudi
Windows, as key components of building facades, have received increasing attention in facade parsing. Convolutional neural networks have shown promising results in window extraction. Most existing methods segment a facade into semantic categories and sub...
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Yaohui Hu, Chun Liu, Zheng Li, Junkui Xu, Zhigang Han and Jianzhong Guo
Buildings are important entity objects of cities, and the classification of building shapes plays an indispensable role in the cognition and planning of the urban structure. In recent years, some deep learning methods have been proposed for recognizing t...
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Hans Ulrik Riisgård and Poul S. Larsen
Demosponges are modular filter-feeding organisms that are made up of aquiferous units or modules with one osculum per module. Such modules may grow to reach a maximal size. Various demosponge species show a high degree of morphological complexity, which ...
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Jiakai Tian, Gang Li, Mingle Zhou, Min Li and Delong Han
Relation extraction is an important task in natural language processing. It plays an integral role in intelligent question-and-answer systems, semantic search, and knowledge graph work. For this task, previous studies have demonstrated the effectiveness ...
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Yundong Wu, Jiajia Liao, Yujun Liu, Kaiming Ding, Shimin Li, Zhilin Zhang, Guorong Cai and Jinhe Su
Object detection is a challenging computer vision task with numerous real-world applications. In recent years, the concept of the object relationship model has become helpful for object detection and has been verified and realized in deep learning. Nonet...
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Olha Yeroshenko, Igor Prasol, Oleh Datsok
Pág. 113 - 119
The subject matter of the article is an electromyographic signal transducer, which are an integral part of devices for adaptive electrical stimulation of muscle structures based on reverse electromyographic communication. The goal of the work is to study...
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Umberto Rizza, Elisa Canepa, Antonio Ricchi, Davide Bonaldo, Sandro Carniel, Mauro Morichetti, Giorgio Passerini, Laura Santiloni, Franciano Scremin Puhales and Mario Marcello Miglietta
Occasionally, storms that share many features with tropical cyclones, including the presence of a quasi-circular “eye” a warm core and strong winds, are observed in the Mediterranean. Generally, they are known as Medicanes, or tropical-like c...
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Aurélio Gouvêa Melo, Delly Oliveira Filho, Maury Martins Oliveira Junior, Sérgio Zolnier, Aristides Ribeiro
Pág. 177 - 183
Solar energy is among the renewable energy sources that received greater addition in installed capacity. However, it accounts for a small fraction of the energy matrix of most countries. Electric energy generation by solar systems can be improved t...
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