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View Code? Open in Web Editor NEWCorners For Layout Pytorch implementation using EfficientNet
Corners For Layout Pytorch implementation using EfficientNet
Hello, are there any pre-trained models available for the PyTorch implementation?
If not, has this training implementation been verified to (closely?) reproduce the paper's results with the default hyperparameters (i.e. train for 100 epochs with a batch size of 4)?
A known issue is the incompatibility between PyTorch's and TensorFlow's weight decay which I suspect will influence results compatibility.
and does it influence too much if after adding offsets the kernel is going beyond the boundary of image/feature map?
From the results of README and the paper, I find that the network constructed by Equirectangular Convolutions (EquiConvs) has no great improvement in indicators compared with the network constructed by traditional convolution (StdConvs). How can you explain the benefits of EquiConvs in processing ERP projection images?
Thanks to the author for providing the source code for the pytorch implementation. Could you please provide the source code for the tensorflow version?
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