Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
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Updated
Dec 26, 2018 - Python
Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
An end-to-end Deep Learning pipeline for Digital Image Processing: Image restoration (denoising & deblurring via U-Net/ResNet) followed by robust image classification using PreActResNet-18 on CIFAR-10 with PyTorch AMP & TorchScript export.
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