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为什么在训练MST方法之前所提出的模型时,往往会得到明显优于作者所开源的预训练模型的重建质量。
例如,当直接运行作者的开源代码,去训练一个TSA-Net,模型的重建结果似乎很轻易的就会超过33dB,而不是预训练模型的31dB的水平。相同的问题也发生在GAP-Net和DGSMP等算法中。
tkttd updated
6 months ago
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Prep a release for 2.9.0 to CRAN. A lot of recent fixes need to be published.
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Dear @leonvarga
Thank you for uploading the direct download link for dataset last time.
I'm now trying to run the training code.
Unfortunately, I encountered the following error. I'm not sure …
ghost updated
9 months ago
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这个路由器和新路由3配置差不多,能否适配一下呢
ddvcx updated
4 years ago
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Hi there beagle-lib team,
I have tried all git-hub tutorials, BEAST and BEAST2 tutorial etc. and have searched all google groups but I am still receiving the same error when I try and run my .xml f…
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**Describe the bug**
`$ fwupdmgr security` displays the following which shows the HSI level at 4, yet with a reportedly unsupported CPU; It also seemed to have struggled with determining whether the …
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**Desktop**:
OS: macOS 14.3.1
Arduino IDE version: 2.3.1
STM32 core version: 2.7.1
Upload method: STM32 Cube Programmer (Serial)
**Board**:
Name: STM32F0 based
**Board PART NUMBER**:
…
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I'm not sure when an update of the codeintel for a file should be triggered, but it doesn't seem to be working. Before I do anything I delete ~/.codeintel/db to ensure perfect test conditions.
Say I …
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**Describe the set-up**
* STM32F3Discovery.
* STM32CubeIDE.
**Additional context**
Please add support for a BSP package for I3G4250D. Thanks
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