Comments (3)
- eval_global.py which consist of many datasets you can choose.
- Keep same with our paper.
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不好意思打扰您了,非常感谢你的回复,还有一个基础问题想请教您一下,关于加载预训练权重,我看您跳过了att_mask的预训练权重参数,请问swin作为骨干提取特征都是这样的吗,还是说其他原因。谢谢你!
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refer #9 。
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Related Issues (11)
- When the code will be released HOT 1
- 请问一下,swin-T作为backbone,训练时候,你有freeze swin-T中的某些层吗?还是全部参与训练? HOT 1
- how to generate the visualization of the attention weight of multi-head spatial-frequency attention? HOT 1
- 关于代码是否开源 HOT 2
- Excuse me, can you provide the trained model parameters(sftranst_ep{}.pth.tar). Many thanks! HOT 1
- About your baseline HOT 1
- 可视化 HOT 3
- swin transformer pretrain model HOT 1
- 对比试验表格 HOT 2
- RuntimeError: No constructor for the given network. HOT 2
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