Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization

Xiaohan Yu; Jun Wang; Yang Zhao; Yongsheng Gao

doi:10.1016/j.patcog.2022.109131

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JOURNAL ARTICLE

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization

Xiaohan Yu Jun Wang Yang Zhao Yongsheng Gao

Year: 2022 Journal: Pattern Recognition Vol: 135 Pages: 109131-109131 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2022.109131

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Keywords:

Computer science Categorization Discriminative model Transformer Artificial intelligence Security token Machine learning Granularity Pattern recognition (psychology) Engineering

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization

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