<ul><li>Dynamic convolution enhances model capacity by adaptively combining multiple kernels.</li><li>KernelDNA is a lightweight convolution kernel plug-in that enables dynamic kernel specialization without altering the standard convolution structure.</li><li>KernelDNA achieves state-of-the-art accuracy-efficiency balance among dynamic convolution variants.</li><li>Codes for KernelDNA are available at https://github.com/haiduo/KernelDNA.</li></ul>

KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters

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