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pro vyhledávání: '"Yu, Songsen"'
Knowledge distillation is a widely adopted technique for model lightening. However, the performance of most knowledge distillation methods in the domain of object detection is not satisfactory. Typically, knowledge distillation approaches consider on
Externí odkaz:
http://arxiv.org/abs/2404.01699
Meta learning is a promising technique for solving few-shot fault prediction problems, which have attracted the attention of many researchers in recent years. Existing meta-learning methods for time series prediction, which predominantly rely on rand
Externí odkaz:
http://arxiv.org/abs/2311.02300
ResNets and its variants play an important role in various fields of image recognition. This paper gives another variant of ResNets, a kind of cross-residual learning networks called C-ResNets, which has less computation and parameters than ResNets.
Externí odkaz:
http://arxiv.org/abs/2211.12320
Steganalysis as a method to detect whether image contains se-cret message, is a crucial study avoiding the imperils from abus-ing steganography. The point of steganalysis is to detect the weak embedding signals which is hardly learned by convolution-
Externí odkaz:
http://arxiv.org/abs/2203.12843
Color image steganography based on deep learning is the art of hiding information in the color image. Among them, image hiding steganography(hiding image with image) has attracted much attention in recent years because of its great steganographic cap
Externí odkaz:
http://arxiv.org/abs/2112.14437
Compared with the traditional hashing methods, deep hashing methods generate hash codes with rich semantic information and greatly improves the performances in the image retrieval field. However, it is unsatisfied for current deep hashing methods to
Externí odkaz:
http://arxiv.org/abs/2112.13565
Publikováno v:
In Neurocomputing 28 August 2024 595
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Publikováno v:
In Neurocomputing 28 June 2022 491:14-23
Publikováno v:
Journal of Zhengzhou University: Engineering Science; Sep2024, Vol. 45 Issue 5, p77-85, 9p