Comments (3)
csuhan
commented on June 8, 2024
ReResNet预训练权重没有正确加载
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Znc1996
commented on June 8, 2024
re_resnet50_c8_batch256-12933bc2.pth请问您有这个预训练权重的链接吗？
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csuhan
commented on June 8, 2024
See https://github.com/csuhan/ReDet/blob/master/README.md
- ImageNet pretrain
We pretrain our ReResNet on the ImageNet-1K. Related codes can be found at the ReDet_mmcls branch. Here we provide our pretrained ReResNet-50 model for convenience. If you want to train and use ReResNet in your own project, please check out ReDet_mmcls for the installation and basic usage.
| Model | Group | Top-1 (%) | Top-5 (%) | Download |
|---|---|---|---|---|
| ReR50 | C8 | 71.20 | 90.28 | model | log |
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Related Issues (20)
- ReDet with Dota 1 multiscale OBB - only able to achieve 79.2% so far HOT 5
- Update Regression Losses Dictionary HOT 1
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- 执行test.py时，提示缺少val.txt文件，我该如何获得这个文件呢？
- Can I run ReDet by removing the ReFPN part
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- ninja: error: build.ninja:3: lexing error HOT 1
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- 将RPN head改成FCOS head该怎么操作呢，我看您的代码里有FCOShead的代码
- Test error
- calculate the map
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- HRSC2016 HOT 1
- 我用re-resnet50替换其他特征提取网络时发生了错误，能帮我解答吗，问题如下。 HOT 1
- nv
- Welcome update to OpenMMLab 2.0
- ReResnet50 pretrain model difference HOT 1
- 作者您好，将特征图用您给的方法进行可视化后无法达到您论文中给出的可视化图的效果，请问什么原因呢，飞机没有清晰的结构
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