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ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection. [PDF]
Sathyanarayana B +3 more
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Plant disease classification in the wild using vision transformers and mixture of experts. [PDF]
Salman Z, Muhammad A, Han D.
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Enhancing detection of common bean diseases using Fast Gradient Sign Method-trained Vision Transformers. [PDF]
Mwaibale U, Mduma N, Laizer H, Mgawe B.
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Automated Cough Detection System based on Vision Transformers
Tan K, Smith J, Gaydecki P.
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Rethinking Vision Transformers for MobileNet Size and Speed
IEEE International Conference on Computer Vision, 2022With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to optimize the performance and complexity of ViTs to enable efficient deployment on mobile devices.
Yanyu Li +7 more
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PolaFormer: Polarity-aware Linear Attention for Vision Transformers
International Conference on Learning RepresentationsLinear attention has emerged as a promising alternative to softmax-based attention, leveraging kernelized feature maps to reduce complexity from quadratic to linear in sequence length.
Weikang Meng +4 more
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Hypergraph Vision Transformers: Images are More than Nodes, More than Edges
Computer Vision and Pattern RecognitionRecent advancements in computer vision have highlighted the scalability of Vision Transformers (ViTs) across various tasks, yet challenges remain in balancing adaptability, computational efficiency, and the ability to model higher-order relationships ...
Joshua Fixelle
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Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022
Zhi Cheng +4 more
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Zhi Cheng +4 more
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Hibou: A Family of Foundational Vision Transformers for Pathology
arXiv.orgPathology, the microscopic examination of diseased tissue, is critical for diagnosing various medical conditions, particularly cancers. Traditional methods are labor-intensive and prone to human error.
Dmitry Nechaev +2 more
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