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Survey of computer vision using transformers

Survey of computer vision using transformers


A Survey of Visual Transformers

arXiv paper abstract https://arxiv.org/abs/2111.06091



... visual Transformers have achieved impressive performance on multiple benchmarks such as ImageNet, COCO, and ADE20k as compared with modern Convolution Neural Networks (CNN).


... provided a comprehensive review of over one hundred different visual Transformers for three fundamental CV tasks (classification, detection, and segmentation), where


a taxonomy is proposed to organize these methods according to their motivations, structures, and usage scenarios.


... also evaluated these methods on different configurations for easy and intuitive comparison instead of only various benchmarks.


... revealed a series of essential but unexploited aspects that may empower Transformer to stand out from numerous architectures ...



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