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您好学长,这里其他的对比模型没用写出来吗?比如ssd这些配置文件没用在代码里面吗?
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就是我打算选用您对比的部分模型作为我论文中对比的模型
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你好呀 @liuz25 ,
抱歉回复晚了,我们的代码里没有包含对比方法的代码/配置文件,但你可以利用下面的链接对结果进行复现:
YOLOv3: 所用代码库, 因为作者跟YOLOv5是同一批,所以配置跟本代码库基本一致
Retinanet: 所用代码库, 配置为ResNet50
SSD: 所用的源码库, 所用的配置文件
FasterRCNN: 所用代码库, backbone为VGG16, 配置方式请见其代码库README.md
EfficientDet: 所用代码库, 采用D0和D2, 配置方式请见其代码库README.md
FCOS: 所用代码库, backbone为ResNet50, 配置方式请见其代码库README.md
CenterNet: 所用代码库, backbone为Hourglass104, 配置方式请见其代码库README.md
HSFNet, ImYOLOv3, DFR/RFE 可结合现有YOLO, RCNN代码进行复现
好的,非常感谢!
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您好学长,这里其他的对比模型没用写出来吗?比如ssd这些配置文件没用在代码里面吗?
The text was updated successfully, but these errors were encountered: