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...
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 ...
History 27 Commits classification detection ops .gitignore LICENSE README.md DPT This repo is the official implementation ofDPT: Deformable Patch-based Transformer for Visual Recognition (ACM MM2021). We provide code and models for the following tasks: ...
Xie, Y., Tu, Z., Yang, T.et al.EdgeFormer: local patch-based edge detection transformer on point clouds.Pattern Anal Applic28, 11 (2025). https://doi.org/10.1007/s10044-024-01386-6 Download citation Received22 April 2024 Accepted25 November 2024 ...
Google AI Propose A Patch-Based Multi-Scale Image Quality Transformer (MUSIQ) To Bypass The Convolutional Neural Network (CNN) Constraints On Fixed Input Size And Predict The Image Quality Effectively On Native...
Transformer-based networks have demonstrated their powerful performance in various vision tasks. However, these transformer-based networks are heavyweight ... S Liang,M Yu,LR You - 《Intelligent Data Analysis》 被引量: 0发表: 2023年 加载更多来源...