Network overview (IMAGE)

Beijing Zhongke Journal Publising Co. Ltd.

Network overview

Caption

The input image is first split into overlapping patches. Then, those patches go through tokens reduction block and main transformer to learn features with global information. To abstract global information, context token (blue vector) is added to the input sequence before the main transformer. The encoded features are processed by TAM and regression-token module (RTM). The small decoder after TAM is not shown for simplicity.

Credit

Beijing Zhongke Journal Publising Co. Ltd.

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License

CC BY

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