Hello, thank you for your amazing job!
I tried to use ResNet18 as the backbone of DFM, but the pairs of keypoints were much less than VGG-DFM(only half, for example, 1267vs2465).
Theoretically, the performance of ResNet is much better than VGG
I picked up the featuremaps of ResNet18 of original img, conv1_x, conv_2x, conv-3x， conv_4x, conv_5x.(all after ReLU)
I noticed that the feature maps which you picked in VGG19 was not following the Stage strictly. Some feature maps were after Conv, some were after ReLU.
Could you tell me the rules of picking up feature maps? Than you in advance!
Hello, thank you for your amazing job!
I tried to use ResNet18 as the backbone of DFM, but the pairs of keypoints were much less than VGG-DFM(only half, for example, 1267vs2465).
Theoretically, the performance of ResNet is much better than VGG
I picked up the featuremaps of ResNet18 of original img, conv1_x, conv_2x, conv-3x， conv_4x, conv_5x.(all after ReLU)
I noticed that the feature maps which you picked in VGG19 was not following the Stage strictly. Some feature maps were after Conv, some were after ReLU.
Could you tell me the rules of picking up feature maps? Than you in advance!