Comments (1)
The depth wise dynamic kernel in the submitted code does not achieve better performance. We still working on this part. According to experimental results we have now, using group verision dynamic kernel may achieve competitive performance. I hope this answer is useful for you.
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Related Issues (20)
- 3D人体姿态估计 HOT 1
- ParC and Gcc HOT 1
- replace the traditional conv layer HOT 2
- picture shape question HOT 1
- 请问您使用的是哪个版本的imagenet HOT 1
- 模块问题 HOT 1
- How to train our own dataset? HOT 1
- License?
- 和convnext结合模型 HOT 1
- What is "Sptatial model" meas? HOT 1
- 想问一下global_kernel_size是根据什么设置的? HOT 1
- 想问一下模型转换成onnx的问题
- 关于position embedding
- 关于论文中ParC模块的疑惑
- 在导出onnx模型的时候出现了不支持可变性卷积的问题,请问是需要自定义onnx算子吗
- 数据集加载问题
- 插入到当前现有的卷积模型
- 代码实现与论文中的图是不是不一样?
- PE位置编码怎么适应输入图片尺寸的变化
- 抱歉,打扰您了
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