We further enrich the multi-scale Transformer with adaptive pathways, which adaptively adjust the multi-scale modeling process based on the varying temporal dynamics of the input, improving the accuracy and generalization of Pathformer. Extensive experiments on eleven real-world datasets demonstrate that...
We propose Pathformer, a multi-scale Transformer with adaptive pathways. It integrates both temporal resolution and temporal distance for multi-scale modeling. Multi-scale division divides the time series into different temporal resolutions using patches of various sizes. Based on the division of each...
1. 论文和代码地址 Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length 论文地址:https://arxiv.org/abs/2105.15075 代码地址:https://github.com/blackfeather-wang/Dynamic-Vision-Transformer 2. Motivation 首先作者做了一个实验(Table1),用14x14的token能达到76...
Transformer最近在CV领域展现出了不错的效果,Vision Transformer(ViT)的大致流程可分为两步: 1)因为Self-Attention(SA)的计算复杂度是和输入特征的大小呈平方关系的,所以如果直接将224x224的图片输入到Transformer中,会导致计算量的“爆炸”。因此,ViT的第一步是将图片转换成更小的token(比如16x16),然后将这些token...
内容提示: Ada-MSHyper: Adaptive Multi-Scale HypergraphTransformer for Time Series ForecastingZongjiang Shang, Ling Chen ∗ , Binqing Wu, Dongliang CuiState Key Laboratory of Blockchain and Data SecurityCollege of Computer Science and TechnologyZhejiang University{zongjiangshang, lingchen, binqingwu,...
To address these problems, we propose a multi-scale adaptive transformer network (MSATNet) for motor imagery classification. Therein, we design a multi-scale feature extraction (MSFE) module to extract multi-band highly-discriminative features. Through the adaptive temporal tr...
Not All Images are Worth 16x16 Words: Dynamic Vision Transformers with Adaptive Sequence Length 论文地址:https://arxiv.org/abs/2105.15075 代码地址:https://github.com/blackfeather-wang/Dynamic-Vision-Transformer 2. Motivation 首先作者做了一个实验(Table1),用14x14的token能达到76.7%的准确率;用4x4...
两个Transformer 结构一样,可以看到中间部分为本文主要创新点,通过对注意力模块权重的分析选出模型分类主要聚焦的部分,认为是重要的分类特征,进而选取该子图再次输入 ViT。 作者先简单回顾了一下 ViT,放了几个 Attention 公式,可以参考一下: 首先是分块及位置插入 ...
Zamir SW, Arora A, Khan S, Hayat M, Khan FS, Yang MH (2022) Restormer: Efficient transformer for high-resolution image restoration. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 5728–5739). Zhang L, Li C, Sun H (2022) Object detection/track...
Multi-Scale Deformable Transformer with Hybrid Anchors (MDHA) is a novel, sparse query-based multi-view framework for 3D object detection - GitHub - NaomiEX/MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors (MDHA) is a novel, sparse query-bas