Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Cui, Yajie"'
Publikováno v:
2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 870-874
Anomaly detection without priors of the anomalies is challenging. In the field of unsupervised anomaly detection, traditional auto-encoder (AE) tends to fail based on the assumption that by training only on normal images, the model will not be able t
Externí odkaz:
http://arxiv.org/abs/2308.00429
Human action recognition in computer vision has been widely studied in recent years. However, most algorithms consider only certain action specially with even high computational cost. That is not suitable for practical applications with multiple acti
Externí odkaz:
http://arxiv.org/abs/2209.15271
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty. Optimizing network architecture or network parameters is used to tackle this challenge in academic circles, while ignorin
Externí odkaz:
http://arxiv.org/abs/2209.09449
In the field of waste copper granules recycling, engineers should be able to identify all different sorts of impurities in waste copper granules and estimate their mass proportion relying on experience before rating. This manual rating method is cost
Externí odkaz:
http://arxiv.org/abs/2207.04575
Publikováno v:
IEEE Access, vol. 11, pp. 55297-55315, 2023
In line with the development of Industry 4.0, surface defect detection/anomaly detection becomes a topical subject in the industry field. Improving efficiency as well as saving labor costs has steadily become a matter of great concern in practice, wh
Externí odkaz:
http://arxiv.org/abs/2204.11161
Although multi-view learning has made signifificant progress over the past few decades, it is still challenging due to the diffificulty in modeling complex correlations among different views, especially under the context of view missing. To address t
Externí odkaz:
http://arxiv.org/abs/2011.06170
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Autor:
Cui, Yajie1 (AUTHOR) cuiyajie7@outlook.com, Zhang, Mengdie1 (AUTHOR) mdzhang9@swfu.edu.cn, Zhu, Haidi1 (AUTHOR) czhuhaidi@outlook.com, Yang, Pei2 (AUTHOR) 521yangpei@163.com, Yang, Bin1,3 (AUTHOR) yangbin48053@swfu.edu.cn, Li, Zongbo1,3 (AUTHOR) lizb@swfu.edu.cn
Publikováno v:
Insects (2075-4450). Dec2023, Vol. 14 Issue 12, p933. 20p.
Publikováno v:
In Sustainable Cities and Society December 2022 87
Akademický článek
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