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Randomly dilated convolutions and context excitation can push ResNet-34 to state-of-the-art image classification accuracy, even on datasets like Imagenette and Imagewoof where other methods struggle.
Achieve state-of-the-art industrial defect detection without adding computational overhead by injecting noise and fusing features in a novel way.