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Hi, I ran a test with both --binary and --xnor set. Here are the errors,
2018-04-26 10:34:44.400066: I tensorflow/core/common_runtime/gpu/gpu_device.cc:961] DMA: 0
2018-04-26 10:34:44.400072: I…
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您好，刚刚看了您的代码，有个不理解的地方。在xnor-net的里面有个K，它是根据激活值算出来的，想问一下这一部分的实现在哪里呀？我只看到了对激活求sign操作，然后就直接卷积了。
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The Readme says "The binary convolution layer is modified from https://github.com/loswensiana/BWN-XNOR-caffe, in which we modified the gradient computation method"
However, looking at the Diff of
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I use the yolov3-tiny_xnor.cfg to detect one class, the loss is around 5. I use 1300 images have object and 1300 images have no label.
您好，在论文中说到，正如XNOR-Net一样，forward 和 backward过程中量化，但是参数更新不量化，这个过程您是怎么实现的呢？
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Hi Ruizhou,
Thanks for sharing your code!
While going through your code, I found you used LeakyReLU for the first activation function and didn't quantize its output. Therefore it seems the secon…
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When I implement pytorch version, I met the matrix inverse(torch.inverse(BxB^T)) doesn't have, How Can I promise the probility,
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Hi,
I wonder if alpha and delta are layer based (as clained in Trained Ternary Quantization paper) or filter based (like XNOR-Net). I assumed they are filter based because your paper mention n as …