Hello,
I was going through the FCN paper[1]. The paper shows that, although VGG and GoogleNet has similar classification accuracy on ImageNet, GoogleNet performs poorly in FCN compared to VGG.
The exact statement from paper:
Despite similar classification accuracy, our implementation of GoogLeNet did not match the VGG16 segmentation result.
Can anybody explain possible reasons for this difference ?
[1] Fully Convolutional Networks for Semantic Segmentation, Jonathan Long, Evan Shelhamer, Trevor Darrell. arXiv:1411.4038