DePatch模块可以作为一个即插即用的模块,嵌入到不同的Transformer结构中,以实现端到端训练。作者将DePatch模块嵌入到Pyramid Vision Transformer (PVT)中,得到一个新的Transformer结构,Deformable Patch-based Transformer (DPT) 。 最后作者在分类和检测任务上进行了实验,结果表明,DPT在ImageNet分类上的准确率为81.9%;...
DePatch模块可以作为一个即插即用的模块,嵌入到不同的Transformer结构中,以实现端到端训练。作者将DePatch模块嵌入到Pyramid Vision Transformer (PVT)中,得到一个新的Transformer结构,Deformable Patch-based Transformer (DPT) 。 最后作者在分类和检测任务上进行了实验,结果表明,DPT在ImageNet分类上的准确率为81.9%;...
DPT: Deformable Patch-based Transformer for Visual Recognitionarxiv.org/pdf/2107.14467.pdf 代码:github.com/CASIA-IVA-La Abstract: 作者提出了一种新的Deformable Patch(DePatch)模块,可以自适应地将图像分割成不同位置和大小的patch,而不是原先ViT中固定大小的patch。这样一来,可以避免对语义信息的破坏。同...
与NLP任务类似,Transformer通常将输入图像分成一系列固定大小的patch,然后通过Multi-head Self-Attention来建模不同patch之间的上下文关系。与卷积神经网络相比,Transformer可以有效地捕获序列内的长距离依赖关系,提取的特征包含更多的语义信息。 虽然目前Vision Transformer在CV任务中达到了比较不错的效果,但依旧存在一些问题。...
DePatch模块可以作为一个即插即用的模块,嵌入到不同的Transformer结构中,以实现端到端训练。作者将DePatch模块嵌入到Pyramid Vision Transformer (PVT)中,得到一个新的Transformer结构,Deformable Patch-based Transformer (DPT) 。 最后作者在...
To address these issues, we propose a novel patch-based transformer (PatchFormer). The proposed architecture incorporates a Dual Patch-wise Attention Network (DPAN), which effectively captures global correlations between patches via inter-patch attention while also addressing local dependencies within ...
In this repository, code and models for a Deformable Patch-based Transformer (DPT) are provided. As this field is developing rapidly, we are willing to see our DePatch applied to some other latest architectures and promote further research. ...
EdgeFormer: Local Patch-based Edge Detection Transformer on Point CloudsEnvironmentsPCL 1.8.1Python 3.7.16Pytorch 1.8.1CUDA 11.1cuDNN 8.0.5DatasetWe used Chunk 0000 of the ABC dataset and PartNet dataset.UsagePre-processingFor the point clouds from the ABC dataset, the normal vectors are ...
Zhao, C., Dong, C., Cai, W.: Learning a physical-aware diffusion model based on transformer for underwater image enhancement. Preprint arXiv:2403.01497 (2024) Jiang, H., Luo, A., Fan, H., Han, S., Liu, S.: Low-light image enhancement with wavelet-based diffusion models. ACM Tran...
WET-UNet: Wavelet integrated efficient transformer networks for nasopharyngeal carcinoma tumor segmentation: Nasopharyngeal carcinoma is a malignant tumor that occurs in the epithelium and mucosal glands of the nasopharynx, and its pathological type is mostly poor... Y Zeng,J Li,Z Zhao,... - 《Sci...