SparseNet
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[ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895
Hello: Thank you for your job. I am interested in your sparse resnet. I am not quite sure how do you implement it. Or you just replace the "concat" operations...
Hello, Could you please answer me a question about your original paper? In your paper, you said "the pitfalls of dense feature aggregation in both densenet and resnet are caused...
Hi I notice there is a "layer_per_stage" parameter in cifar100 pytorch implementation: https://github.com/Lyken17/SparseNet/blob/master/src/pytorch/denselink.py#L154 model1-BC (depth=100, k1=16, k2=32, k3=64) model2-BC (depth=100, k1=32,k2=64,k3=128) What is the exact parameter in these two models?...
Traceback (most recent call last): File "/usr/lib/python3.5/code.py", line 91, in runcode exec(code, self.locals) File "", line 1, in File "/home/monk42/Downloads/pycharm-2018.3/helpers/pydev/_pydev_bundle/pydev_umd.py", line 198, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the...