Comments (3)
期待您的回答!
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@DreamerrW
G
is the size of a learnable token. The learnable token tensor (self.prompt_tokens
) is designed to have the total shape of [bank_size, G, embed_dim]
, where bank_size
denotes the token pool size, and each token in the pool has a size of [G, embed_dim]
. In other words, one can think of a "token" as a group of vectors where G
is the number of vectors.
For each foreground/background mean feature with size [embed_dim]
, we broadcast it to [G, embed_dim]
, and then we can add it to a randomly selected learnable token.
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Thanks!
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