transformer语义分割原理

更新时间:2023-06-10 05:05:30 阅读: 评论:0

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    Transformer mantic gmentation is a kind of scene gmentation technology bad on deep learning. It us transformer architecture to fu multi-scale information and us global context information to complement local information, so as to obtain accurate mantic gmentation results.elmer
英文对联    The main idea of transformer mantic gmentation is to replace the traditional convolution structure with transformer architecture. Compared with convolution structure, transformer structure can better capture the global information. The attention mechanism further improves the reprentation capability of transformer structure, which can capture multi-scale information through lf-attention mechanism.
    In order to improve the accuracy of mantic gmentation, transformer architecture adopts the lf-attention mechanism, which can better extract long-range dependencies, ca
pture global mantic information, and generate reprentation features that can better describe the local texture information. The lf-attention mechanism can learn the global context information and then u it to complement the local information, so as to improve the accuracy of mantic gmentation.to catch a thief
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bespoke    Finally, the lf-attention mechanism us the global context information to guide the attention of local information, and through the lf-supervid learning mechanism, the overall gmentation results can be obtained. In summary, the transformer mantic gmentation algorithm is bad on the lf-attention mechanism, which can effectively fu multi-scale information to guide the local texture information, so as to improve the accuracy of mantic gmentation.。

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标签:语义   原理   分割
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