Comments (2)
gasvn
commented on August 15, 2024
res2net-v1b使用了cutmix，也同时采用了cutmix对应的训练策略。可以参考这个代码实现 https://github.com/ildoonet/cutmix
另外res2net的训练技术相对较老，如果想获得更好的性能可以直接使用最近较新的训练策略, 例如 https://pytorch.org/blog/how-to-train-state-of-the-art-models-using-torchvision-latest-primitives/
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zp5070
commented on August 15, 2024
好的，谢谢啦
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Related Issues (20)
- tensorflow，keras预训练版本 HOT 2
- width = int(math.floor(planes * (baseWidth/64.0)))
- Can res2net have a basic block structure? HOT 6
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- 提供的Res2Net-v1b-50预训练模型与mmdetection不完全匹配
- 维度不匹配 HOT 2
- What is baseWidth? HOT 3
- About stype.stage HOT 3
- How to determine the width parameter HOT 1
- About ResNet18？ HOT 3
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- why don't have the Res2Net-v1b-200-SSLD model code ? HOT 1
- 26是否可以替换成其他更小数值 HOT 2
- About SSLD pretrained model HOT 3
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- self-supervised training on Imagenet
- 代码中的残差结构和图像中不一致 HOT 1
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