两种attention能够实现互补:spatial window attention能够提取windows内的局部特征,而channel group attention能学习到全局特征,这是因为每个channel token在图像空间上都是全局的。 下图为作者的dual attention block的模型架构。它包含两个transformer block:空间窗口self-attention block和通道组self-attention block。通过交替...
In this work, we introduce Dual Attention Vision Transformers (DaViT), a simple yet effective vision transformer architecture that is able to capture global context while maintaining computational efficiency. We propose approaching the problem from an orthogonal angle: exploiting self-attention mechanisms ...
【ECCV2022】DaViT: Dual Attention Vision Transformers 代码:https://github.com/dingmyu/davit 这个论文想法很自然也容易想到。Transformer都是在处理 PxC 二维的数据,其中 P 是token 的数量,C是特征的维度。普通的方法都是在P这个维度计算attention,那么是不是可以在C这个维度计算attention呢? 肯定是可以的。 因此...
💡💡💡本文独家改进:DualViT:一种新的多尺度视觉Transformer主干,它在两种交互路径中对自注意力学习进行建模,即学习更精细像素级细节的像素路径和提取整体全局语义信息的语义路径,性能表现出色,Dualattention引入到YOLOv8实现创新涨点!!! Dualattention | 亲测在多个数据集能够实现大幅涨点 1.Dual-ViT 论文:Dual ...
Dualattention | 亲测在多个数据集能够实现大幅涨点 1.Dual-ViT 论文:Dual Vision Transformer | IEEE Journals & Magazine | IEEE Xplore 摘要:以前的工作已经提出了几种降低自注意力机制计算成本的策略。其中许多工作考虑将自注意力过程分解为区域和局部特征提取过程,每个过程产生的计算复杂度要小得多。然而,区...
In this work, we introduce Dual Attention Vision Transformers (DaViT), a simple yet effective vision transformer architecture that is able to capture global context while maintaining computational efficiency. We propose approaching the problem from an orthogonal angle: exploiting self-attention mechanisms ...
an innovative model for segmenting advanced brain tumors. This study's brain tumor segmentation model utilizes the robust Dual Vision Transformer and U-Net architecture to achieve high accuracy and computational efficiency. Our methodology was initially designed to incorporate dual attention. To perform ...
在本文中,作者提出了一种旨在缓解成本问题的新型Transformer架构,称为双视觉Transformer(Dual ViT)。新架构结合了一个关键的语义路径,可以更有效地将token向量压缩为全局语义,并降低复杂性。这种压缩的全局语义通过另一个构建的像素路径,作为学习内部像素级细节的有用先验信息。然后将语义路径和像素路径整合在一起,并...
3D medical image segmentation Dual attention Depth-wise convolution Swin transformer InceptionNeXt 1. Introduction In recent years, vision transformers (ViTs) [1] have gradually surpassed and replaced Convolution Neural Network (CNN) and found wide applications in various downstream tasks of medical imagi...
OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Predictionarxiv.org/abs/2304.05316 Code URL: OccFormergithub.com/zhangyp15/OccFormer Organization:PhiGent Robotics鉴智机器人 TL;DR encoder部分通过引入局部和全局的双通道注意力机制学习场景不同尺度的特征,decoder引入了最新的Ma...