Closed jh-jeong closed 7 years ago
@jh-jeong In my "Much more efficient caffe implementation", I also reach about 4.8% for DenseNet-BC-100-12. I am curious of the cause which seems to be common between Caffe and Tensorflow.
@Tongcheng Finally I could get 4.5% in Tensorflow. What I changed are as follows:
@jh-jeong can you share your tf-version code?
I've followed one of Tensorflow implementations of DenseNet (https://github.com/ikhlestov/vision_networks) to reproduce DenseNet-BC-100-12. It seemed to me that the tensorflow implementation is nearly equivalent with one from this repo, but I couldn't reach to ~4.5 % error (the best one was about ~4.8 %, by the way) Could you give me any reasons why it is? I already compared two codes very carefully, but couldn't find.