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@GTrui6 Its a reference from condinst, you can see the original paper |
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Why the kernel head in RTMDET has 169 dimensions? The paper says:"The vector is divided into three parts (lengths are 88, 72, and 9 respectively), which are used to form the kernels of three dynamic convolution layers". So why is that?
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