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Inspired by the long-range modeling ability of ViTs, large-kernel convolutions are widely studied and adopted recently to enlarge the receptive field and improve model performance, like the remarkable work ConvNeXt which employs 7x7 depthwise convolution.
Mixconv: Mixed depthwise convolutional kernels
Mingxing Tan and Quoc V Le · 1907
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Backpropagation applied to handwritten zip code recognition
Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel · 1989
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Random erasing data augmentation
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Repvgg: Making vgg-style convnets great again
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mixup: Beyond empirical risk minimization
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Training language models to follow instructions with human feedback
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