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the pre-trained weight of Mit b0 - b5 #151
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have you got it, i need it also |
mit权重 https://www.alipan.com/s/VxcinMdznzA 提取码: 38fw 点击链接保存,或者复制本段内容,打开「阿里云盘」APP ,无需下载极速在线查看,视频原画倍速播放。
这是我找到的 mit 的权重,你可以验证一下。
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***@***.***>Date10/11/2024 ***@***.***>***@***.***>,
***@***.***>SubjectRe: [NVlabs/SegFormer] the pre-trained weight of Mit b0 - b5 (Issue #151)
have you got it, i need it also
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The link is broken 😭 |
同求一份权重 |
mit权重 |
已发送新的链接 |
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十分的感谢 |
好像链接里面没有任何一个文件😭 |
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您好,请问您有这个文件了吗? |
好像阿里云盘在分享文件夹时有问题。我给个百度云盘的链接吧。链接:https://pan.baidu.com/s/1KBCy5OT2sBZGv4Dq9k5UdQ?pwd=zgjn |
mmsegmentation/configs/segformer at master · open-mmlab/mmsegmentation · GitHub |
Hello, it seems that the pre-trained weights of mit b0-b5 are required when segformer is trained in the code, could you please share the download link for them? Thanks!
I did not use the mmsegmentation framework. I extracted the network structure of segformer from your code and verified it with the weight file you provided. There was no problem. However, when using this network to train segformer from scratch on the ADE20k dataset, the results are very low, and it is not known if the reason is that mit backbone's pre-training weights are not loaded.
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