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Hi, I tried to replace the VGG backbone of mscnn with resnet 50, but when I train the 7s-576-2x model on kitti car dataset, it gets quite bad performance:
- only 56% box recall on the output of stage1(iou threshold 0.7), which is around 97-98% for the vgg conterpart
and the log shows that the networks fits well on the kitti car . It really confused me much.
I kept all the other parameters same as vgg, such as feature map size of every branch and anchor size. Have you tried using resnet or other backbone network ?
The text was updated successfully, but these errors were encountered:
Hi, I tried to replace the VGG backbone of mscnn with resnet 50, but when I train the 7s-576-2x model on kitti car dataset, it gets quite bad performance:
- only 56% box recall on the output of stage1(iou threshold 0.7), which is around 97-98% for the vgg conterpart
and the log shows that the networks fits well on the kitti car . It really confused me much.
I kept all the other parameters same as vgg, such as feature map size of every branch and anchor size. Have you tried using resnet or other backbone network ?
The text was updated successfully, but these errors were encountered: