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Caffe training depth wise convolution is very slow. Is there has plan to reimplement the depth wise convolution?
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Time to take these benchmarks forward to a more meaningful metric (it's taken so long, but it's after all a side project for fun).
I've added benchmarks for the following networks:
VGG Model A (2nd p…
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Hello @marrrcin,
I was googling for a quick-and-dirty piece of PyTorch code doing MNIST classification with ResNet-like architecture and I ended up reading your nice [blog post](https://zablo.net/b…
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@zylo117 Hi!
Nice work!
1. Can you explain please, why do you get the result more slowly than in the official paper?
2. Does the official code https://github.com/google/automl/tree/master/effi…
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Hello,
I see there are Layers for SSD like OD models. Is there any plan to include RoiPooling layer to run RCNN - like models?
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I have an idea that should be relatively easy to implement: use the same cell-based parallel processing technique that I built for motion detection and convolution to invoke a per-pixel delegate to mo…
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Could this repo supports max pooling layer with different x, y strides.
I would like to implement the state-of-the-art object detector.
Thanks.
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Your code works seems really great!
I was confused about the experiments in that paper with MNIST dataset. And the best I can get so far is around 86.5% with ODEnet on CIFAR10. Wondering did you get …
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Thanks to the authors for the great work and for sharing the code!
I am interested in replicating the results on Pems-Bay before trying the model on a custom dataset of similar size.
I am using th…