Hi, I tested caffe-converted ImageNet pretrain model and found inferior performance of MXNet model.
I converted Kaiming’s ResNet 50 and 101 from caffe model to mxnet model. For ResNet 50, the caffe model gives accuracy of 75.3 but the converted mxnet model gives accuracy of 74.4. Is this normal? I followed the instructions in mxnet image-classification example to generate recordIO file with JPEG quality=95 on the validation set.