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07/31/2021
Greedy Network Enlarging
Recent studies on deep convolutional neural networks present a simple pa...
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06/30/2021
Augmented Shortcuts for Vision Transformers
Transformer models have achieved great progress on computer vision tasks...
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02/27/2021
Transformer in Transformer
Transformer is a type of self-attention-based neural networks originally...
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01/21/2021
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution
Modern single image super-resolution (SISR) system based on convolutiona...
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12/23/2020
A Survey on Visual Transformer
Transformer is a type of deep neural network mainly based on self-attent...
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08/04/2020
Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
Neural architecture search (NAS) has attracted increasing attentions in ...
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03/25/2020
