Comments (3)
liuz25
commented on September 24, 2024
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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WindVChen
commented on September 24, 2024
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
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
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liuz25
commented on September 24, 2024
好的，非常感谢！
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Related Issues (20)
- Error when doing inference using augmentation HOT 11
- Adapt for yolov5l6 HOT 6
- performance decrease during training HOT 1
- 运行detect.py出错，您好我把C3ResAtnMHSA加入了yolov7中，出现下面的错误 HOT 2
- DRENet model training on degraded images HOT 8
- Problems in the ConcatFusionFactor of common.py HOT 2
- RuntimeError: result type Float can't be cast to the desired output type long int HOT 2
- detect报错 HOT 11
- detect.py HOT 9
- 关于测试标签 HOT 6
- 关于C3ResAtnMHSA模块的问题 HOT 2
- 关于concatFusionFactor的问题 HOT 2
- I cannot run DRENet. Because has a bug: RuntimeError: The size of tensor a (160) must match the size of tensor b (256) at non-singleton dimension 1 HOT 1
- Error Float in Int64 HOT 1
- 看文章中的一些疑问 HOT 16
- 试运行detect.py上遇到的问题 HOT 3
- Cannot run detect.py HOT 2
- Modify the code for oriented bounding box HOT 2
- 在yolov5-5.0中只使用CRMA模块 HOT 7
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