Titlebook: Artificial Intelligence and Mobile Services – AIMS 2022; 11th International C Xiuqin Pan,Ting Jin,Liang-Jie Zhang Conference proceedings 20

團(tuán)結(jié)

脫毛

不合

Crumple

Mary E. Abood,Roger G Sorensen,Nephi Stellacs of people, such as gait and body shape. Most of the current methods assume that persons’ clothes will not change in a short period of time, so these methods are not applicable when changing clothes. Based on this situation, this paper proposes a dual-branch network clothes-changing person re-iden

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Mary E. Abood,Roger G. Sorensen,Nephi Stellaom transfer learning convolutional neural network model and mel-spectrogram features extracted from mel-spectrogram decomposition model are fused and fed into a multiple layer perception for better classification accuracy. The mel-spectrogram decomposition method feeds band-wise crops of the mel-spe

種植,培養(yǎng)

Aqueous-Humor

LAIR

https://doi.org/10.1007/978-3-031-23504-7artificial intelligence; computational linguistics; computer networks; computer vision; data mining; data