代码: https://github.com/rayleizhu/GLMix当前工作将Convs和MHSAs紧密集成到每个块中(比如说下图中的ACMix),以相同的粒度并行应用 Convs 和 MHSA,并将它们的输出融合以进行进一步处理。作者认为在像素级别应…
《Revisiting the Integration of Convolution and Attention for Vision Backbone》代码简简析 略略略 学生党一枚 来自专栏 · cv模型学习 9 人赞同了该文章 一.论文 这篇论文来自NeurIPS 2024。 1.动机:使用卷积提取图像特征可以利用其具有的归纳偏差特征,但感受域有限;使用多头注意力可以建立远程依赖,但计算量大。
几篇论文实现代码:《Revisiting the Integration of Convolution and Attention for Vision Backbone》(NeurIPS 2024) GitHub: github.com/rayleizhu/GLMix [fig4] 《Rethinking the Power of Timestamps for R...
20,21,22). Here, we use this method to address the key challenge of identifying the functional hierarchical organization of the brain. The main aim of our study is to characterize the GW as the core set of brain regions responsible for integration and orchestration. To do this, we have ...
Due to the stable feature representation capability provided by non-learned operators, the integration with deep learning models, i.e., non-learned operator based deep learning models, has become a paradigm, however, performance-wise, it is still not promising. In this paper, by revisiting non-...
GPDs enjoy an operator definition that results from the collinear factorisation of processes like deeply virtual Compton scattering and deeply virtual meson production [12,35]. This operator definition is affected by UV divergences related to the integration over the transverse momenta\(k_T\)of the ...
This work interprets a standard GCN architecture as layerwise integration of a Multi-layer Perceptron (MLP) and graph regularization. We analyze and conclude that before training, the final representation of a deep GCN does over-smooth, however, it learns anti-oversmoothing during training. Based ...
Revisiting the Integration of Convolution and Attention for Vision Backbone Page Problem: 卷积与注意力的优劣对比: 卷积(Convolution, Convs):擅长局部特征提取,计算效率高,但感受野有限,难以捕获全局信息。 多头自注意力(Multi-Head Self-Attentions, MHSAs):能够建模长距离依赖,捕获全局关系,但计算复杂度高,尤...
Moreover, the modular architecture of APFEL++ and PARTONS will facilitate the integration of higher-order corrections to the evolution, while this task would probably require an almost complete rewriting of Vinnikov's code. 5 Conclusions The main purpose of this paper is to provide a solid and ...
The integration limits are given by xm1 in = √ s pT ey − pT e−y , xm2 in = x√1pT e−y x1 s − pT ey , zmin = 2PT√cosh Y . s (2.3) –3– 2.1.1 Partonic kinematics in the presence of mass When a QQ pair is produced from light partons, the zero-mass ...