CRU-Net
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Hello, I have a question about the structure. In your paper, there is no other layers bwtween the two conv layers with shared weights , but as we know two...
Thanks for your sharing! When I run mx.model.load_checkpoint('CRU-Net-116-ATx28x14-32x4d',0),There are some error: ~/anaconda3/envs/mxnet3/lib/python3.6/site-packages/mxnet/symbol/symbol.py in load(fname) 2419 raise TypeError('fname need to be string') 2420 handle = SymbolHandle() -> 2421 check_call(_LIB.MXSymbolCreateFromFile(c_str(fname), ctypes.byref(handle))) 2422...
If using the architecture of CRU-Net-56@x14 (32*4d) without sharing parameters, how about the performance? Is it higher than 21.9 (top-1 error)? this comparison seems not listed in the paper.
There are links only to Trained model. I could not find the code for training or defining the CRU model. Please let me know where can I find the source...