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) to ensure its final output dimensions match the "Small" branch, balancing the importance of each feature set during fusion.

To prepare features for this model, the following steps are typically used: biglvesmll

In the field of biology, "BIGSMALL" also refers to an interleaved multi-magnification imaging strategy for . It prepares features by: ) to ensure its final output dimensions match

Interleaving low-magnification "atlas" views with high-magnification "target" views. biglvesmll

: Branch inputs are set at different spatial and temporal scales to reduce compute overhead by over 60%.