Zobrazeno 1 - 10
of 587
pro vyhledávání: '"Gao, Shangce"'
Black-Box unsupervised domain adaptation (BBUDA) learns knowledge only with the prediction of target data from the source model without access to the source data and source model, which attempts to alleviate concerns about the privacy and security of
Externí odkaz:
http://arxiv.org/abs/2405.16437
We introduce the task of human action anomaly detection (HAAD), which aims to identify anomalous motions in an unsupervised manner given only the pre-determined normal category of training action samples. Compared to prior human-related anomaly detec
Externí odkaz:
http://arxiv.org/abs/2404.17381
Complex single-objective bounded problems are often difficult to solve. In evolutionary computation methods, since the proposal of differential evolution algorithm in 1997, it has been widely studied and developed due to its simplicity and efficiency
Externí odkaz:
http://arxiv.org/abs/2404.16280
The key to integrating visual language tasks is to establish a good alignment strategy. Recently, visual semantic representation has achieved fine-grained visual understanding by dividing grids or image patches. However, the coarse-grained semantic i
Externí odkaz:
http://arxiv.org/abs/2310.13447
Artificial neural networks (ANNs), inspired by the interconnection of real neurons, have achieved unprecedented success in various fields such as computer vision and natural language processing. Recently, a novel mathematical ANN model, known as the
Externí odkaz:
http://arxiv.org/abs/2309.07791
Deep neural networks (DNNs) are found to be vulnerable to adversarial attacks, and various methods have been proposed for the defense. Among these methods, adversarial training has been drawing increasing attention because of its simplicity and effec
Externí odkaz:
http://arxiv.org/abs/2212.14049
Publikováno v:
In Energy 30 December 2024 313
Publikováno v:
In Knowledge-Based Systems 3 December 2024 305
Publikováno v:
In Expert Systems With Applications 1 December 2024 255 Part B
Autor:
Liu, Zhipeng, Song, Yaotong, Yi, Junyan, Zhang, Zhiming, Omura, Masaaki, Lei, Zhenyu, Gao, Shangce
Publikováno v:
In Expert Systems With Applications 10 March 2025 264