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When I change the code to make depth 40, dense block 3, k=12
File "run_cifar10.py", line 206, in
args.plot_architecture)
File "run_cifar10.py", line 91, in run_cifar10
weight_deca…
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Hello, I want to reproduce the results on densenet-cifar10/cifar100, but got lower accuracy on tensorflow implementation. There is one question on model architecture,
In the paper Implementation Deta…
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There is a MXNet implement of DenseNet with pretrained model in ImageNet dataset: https://github.com/miraclewkf/DenseNet
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Hi,
Thanks for sharing these new implementations.
I tried training fcn densenet with camvid dataset but ended up with following error.
`ValueError: Error when checking target: expected reshap…
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Has anyone finished this?
Should I write a new function such as DenseNetBody ()? And make some modification in ssd_pascal.py?
Thanks!
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"CondenseNet: An Efficient DenseNet using Learned Group Convolutions" paper says it is more efficient than DenseNet.
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I would like to use a data generator and tune epochs and batch size of a BLSTM Model. How do I pass the generator to the trial function?
Batch Generator :
```
def batch_generator(ids, batch_size…
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DenseNets are typically implemented with long strings of concatenations, which require O(n^2) time for O(n) convolutions just for memory copies. If the memory can be pre-allocated and then sliced, the…
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Hi, there
For the imagenet dataset, DenseNet use 7x7 Conv before entering the first dense block;
I also read the following paper condensenet , which use 3x3 conv before entering the first block. …
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I did find pretrained models of imagenet dataset with a normal vanilla implementation(https://github.com/shicai/DenseNet-Caffe) for densenet. But since you have changed the names of layer(now a denseb…