SWIN transformer based contrastive self-supervised learning for animal detection and classification

L. Agilandeeswari; Divya Meena Sundaram

doi:10.1007/s11042-022-13629-x

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SWIN transformer based contrastive self-supervised learning for animal detection and classification

L. Agilandeeswari Divya Meena Sundaram

Year: 2022 Journal: Multimedia Tools and Applications Vol: 82 (7)Pages: 10445-10470 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-022-13629-x

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Keywords:

Computer science Artificial intelligence Pattern recognition (psychology) Transformer Feature vector Cluster analysis Categorization Supervised learning Machine learning Artificial neural network Voltage

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Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

SWIN transformer based contrastive self-supervised learning for animal detection and classification

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