Transform Dual-Branch Attention Net
收藏DataCite Commons2025-05-12 更新2025-05-17 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/XU4F4D
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资源简介：
The Transform Dual-Branch Attention Net (TDBAN), effectively integrates global and local information through a dual-branch design, enhancing image segmentation performance and reducing memory consumption. TDBAN leverages a cross-collaborative module (CCM) based on the Transform mechanism and a data-related learnable fusion module (DRLF) to achieve adaptive content processing.
提供机构：
Harvard Dataverse
创建时间：
2024-07-10
