Comments (1)
是的,如果你使用了stride=2的conv导致特征尺寸不一样,res2net module默认退化成group conv的形式。你也可以考虑用pooling的方式对齐特征尺寸
from res2net-pretrainedmodels.
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
- 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
- res2net50-v1b的训练策略 HOT 2
- About SSLD pretrained model HOT 3
- 对于每一个layer的第一个block,计算方式不是层级的,和论文中描述有差别 HOT 3
- Problem of Replacement of "BatchNorm" to "GroupNorm"
- 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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from res2net-pretrainedmodels.