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View Code? Open in Web Editor NEWpytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"
License: MIT License
pytorch implementation of "Deep Learning-Enabled Semantic Communication Systems with Task-Unaware Transmitter and Dynamic Data"
License: MIT License
Display ''FileNotFoundError: [Errno 2] No such file or directory: 'MLP_MNIST_encoder_combining_0.100000.pkl''' when running 'main_svhn_mnist.py'
Hello guys, I am recently studying your paper "Learning Based Joint Coding-Modulation for Digital Semantic Communication Systems" submitted on arXiv, would you please share your simulation codes of it? Thanks!
the python file address is 'semantic_extraction/VOC/main_semantic_encoding_diff_compre.py', in the line 451
has a statement 'model.load_state_dict(torch.load('Segmentation_Network.pkl'))'. I want to know how can I get the File ‘Segmentation_Network.pkl’
Hello, I have a question about the results of code operation. The results of CIFAR.py operation in the semantic_extraction part save the training accuracy and training PSNR, but do the results in the corresponding paper also show the training results?Or the test results of the test set?
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