论文标题:Dilateformer: Multi-scale dilated transformer for visual recognition 论文地址:arxiv.org/pdf/2302.01791.pdf 论文标题及作者 简介 该论文提出了一种新颖的多尺度空洞Transformer,简称DilateFormer,以用于视觉识别任务。原有的 ViT 模型在计算复杂性和感受野大小之间的权衡上存在矛盾。众所周知,ViT 模型使用全...
DilateFormer 的关键设计概念是利用多尺度空洞注意力（Multi-Scale Dilated Attention, MSDA）来有效捕捉多...
MSDA(Multi-Scale Dilated Attention)的工作原理如下: 特征映射处理:给定一个特征映射X,通过线性投影得到相应的查询(Q)、键(K)和值(V)。 多头设计:将特征映射的通道分成n个不同的头部,每个头部使用不同的扩张率进行多尺度的Sliding Window Dilated Attention(SWDA)操作。 多尺度SWDA操作:每个头部的SWDA操作用于在不...
multi-scale context transformerdilated convolution self-awareretinal vessel segmentationImage segmentation is an essential part of medical image processing, which plays a significant role in adjunctive therapy, disease diagnosis, and medical assessment. To solve the problem of insufficient extracting context ...
Vision transformerMulti-scaleSelf-supervisedDepthwise separable dilated convolutionLocal featuresBenefiting from the advantages of good parallelism and features that ... L Xing,H Jin,HA Li,... - 《Computers & Electrical Engineering》 被引量: 0发表: 2022年 Caries segmentation on tooth X-ray images ...
Moreover, multi-scale feature representations have lately demonstrated powerful performance in vision transformers. CrossViT [12] proposes a novel dual-branch transformer architecture that extracts multi-scale contextual informa- tion and provides m...
To address these limitations, a novel approach is proposed that integrates a multi-scale attention block with dilated convolution into the neural network architecture within the Deep Image Prior framework. This innovative solution aims to enhance the network's ability to capture fine details while ...
These extracted patterns are incorporated for tomato leaf disease classification, which is done by adaptive multiscale dilated convolution-based ResNet along with the EHSMO algorithm for parameter optimization. Finally, the severity computation is done to evaluate the severity level among classified ...
接着,本文将生成的特征图输入到类似 Unet 的编码器-解码器网络结构中进行深层特征提取。在每个阶段中,使用一个包含多尺度图像块嵌入模块(Multi-scale Patch Embedding)和多支路 Transformer 块(Multi-branch Transformer Block)的残差结构块。 多尺度图像块嵌入模块用来生成多尺度的 token 标记,然后分别将它们输入到...
Efficient semantic segmentation of large-scale point cloud scenes is a fundamental and essential task for perception or understanding the surrounding 3d environments. However, due to the vast amount of point cloud data, it is always a challenging to trai