分割的UNet，DeepLab，SegNet等。SSL的MOCO、SimCLR等。Attention的Swin Transformer等。
首先,使用纯卷积模型ConvNeXt在ImageNet上验证SparK,分别比较较小的模型(ViT、Swin、ConvNeXt)-S和较大的模型(ViT、Swin、ConvNeXt)-B. 通过对表1中的垂直结果进行比较,可以发现经过SparK预训练的卷积模型的性能明显由于基于Transformer的预训练方法(+0.7~2.7%)。尽管SparK既没有使用外部模型(DALL-E dVAE)也没有...
The speedup is relative to the UNet decoder baseline. Our final design choices employed in the paper are marked in gray. Parse references dec. type ft hours speedup UNet w/ skip 83.7 12.9 - UNet w/o skip 83.5 12.9 - Transformer [31] 83.4 8.5 1.5× ConvNeXt block 83.7 7.7 1.7×...
the Swin transformer in the base and large model regimes but outperforms Swin in the huge model regime. 7. Conclusion In this paper, we introduce a new ConvNet model family called ConvNeXt V2 that covers a broader range of com- plexity. While the architec...
This work proposes a prostate gland segmentation framework that utilizes a dual-path Swin Transformer UNet structure and leverages Masked Image Modeling for large-scale self-supervised pretaining. A tumor-guided self-distillation step further fused the binary tumor labels of each patch to the encoder...
DRUNet Dilated Residual UNet SNR Signal-to-Noise Ratio SwinIR Image Restoration Using Swin Transformer MDTA Multi-Dconv Head Transposed Attention GDFN Gated-Dconv Feed-forward Network EWT Efficient Wavelet Transformer NEF Neighborhood Feature Enhancement MLP Multiple-Layer Perceptron PwConv Point-wise Con...
🔥 Pretrained CNN beats pretrained Swin-Transformer: 🔥 Generative self-supervised pretraining surpasses contrastive learning: See ourpaperfor more analysis, discussions, and evaluations. Todo list catalog Pretraining code Pretraining toturial for customized CNN model (Tutorial for pretraining your own...
Speech enhancementU-NetSwin-transformerDeep learningenhancement performance has improved significantly with the introduction of deep learning models, especially methods based on the Long–Short-Term Memory architecture. However, these ...doi:10.1007/s00034-024-02736-9ZhangZipeng...
Kaiming给出了三点原因：（1）基础架构不同，NLP目前都采用Transformer，而CV之前是CNN主导，CNN输入非常...
DRUNet Dilated Residual UNet SNR Signal-to-Noise Ratio SwinIR Image Restoration Using Swin Transformer MDTA Multi-Dconv Head Transposed Attention GDFN Gated-Dconv Feed-forward Network EWT Efficient Wavelet Transformer NEF Neighborhood Feature Enhancement MLP Multiple-Layer Perceptron PwConv Point-wise Con...