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pro vyhledávání: '"Meneses, Michel"'
Autor:
Meneses, Michel, Iwami, Bruno
Modern approaches for keyword spotting rely on training deep neural networks on large static datasets with i.i.d. distributions. However, the resulting models tend to underperform when presented with changing data regimes in real-life applications. T
Externí odkaz:
http://arxiv.org/abs/2305.13332
With the recent advances in the object detection research field, tracking-by-detection has become the leading paradigm adopted by multi-object tracking algorithms. By extracting different features from detected objects, those algorithms can estimate
Externí odkaz:
http://arxiv.org/abs/2007.06041
This work presents a low-cost robot, controlled by a Raspberry Pi, whose navigation system is based on vision. The strategy used consisted of identifying obstacles via optical flow pattern recognition. Its estimation was done using the Lucas-Kanade a
Externí odkaz:
http://arxiv.org/abs/1803.03966
Autonomous robots are used as the tool to solve many kinds of problems, such as environmental mapping and monitoring. Either for adverse conditions related to the human presence or even for the need to reduce costs, it is certain that many efforts ha
Externí odkaz:
http://arxiv.org/abs/1710.06518
Carbon dioxide (CO2) is the main greenhouse gas in the earth’s atmosphere. The current concentration levels of CO2 in the atmosphere contribute to generate irreversible changes in the climate, sea level and the environment. Due to the highly indust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2653::524b0fb42e785c4fa81e43721deabbdf
http://hdl.handle.net/10784/30073
http://hdl.handle.net/10784/30073
Akademický článek
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Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES With the recent advances in the object detection research field, tracking-by-detection has become the leading paradigm adopted by multi-object tracking algorithms. By extracting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::6c0ce9acd9e43d8f9da70c82d4f38c8f
https://ri.ufs.br/jspui/handle/riufs/14548
https://ri.ufs.br/jspui/handle/riufs/14548