Archives for ResNeSt Amazon
ResNeSt architecture combines the channel-wise attention with multi-path representation into a single unified Split-Attention block.
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Recently, researchers from Amazon and the University of California, Davis introduced ResNeSt, which is a new variant of ResNet. The researchers claimed that this network preserves the overall ResNet structure that is to be used in downstream tasks straightforwardly without any additional computational costs. Improvements of models and networks are one of the trending ways…
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