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06/01/2023
Can Large Pre-trained Models Help Vision Models on Perception Tasks?
The recent upsurge in pre-trained large models (e.g. GPT-4) has swept ac...
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06/01/2022
Vision GNN: An Image is Worth Graph of Nodes
Network architecture plays a key role in the deep learning-based compute...
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11/24/2021
An Image Patch is a Wave: Phase-Aware Vision MLP
Different from traditional convolutional neural network (CNN) and vision...
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06/27/2021
Post-Training Quantization for Vision Transformer
Recently, transformer has achieved remarkable performance on a variety o...
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03/10/2021
Manifold Regularized Dynamic Network Pruning
Neural network pruning is an essential approach for reducing the computa...
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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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12/01/2020
Pre-Trained Image Processing Transformer
As the computing power of modern hardware is increasing strongly, pre-tr...
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11/27/2019
