为了解决上述挑战,本文提出了一种新的高效Strip MLP模型,称为StripMLP,以三种方式丰富 Token 交互层的能力。 对于单个MLP层,受HOG中的交叉块归一化方案的启发,本文作者设计了一个Strip MLP层,允许 Token 以交叉方式与其他 Token 交互,使得每行或每列的 Token 在对其他行或列的贡献上有所不同。 对于Token 交互...
This paper presents a simple MLP-likearchitecture, CycleMLP, which is a versatile backbone for visual recognition and densepredictions, unlike modern MLP architectures, e.g., MLP-Mixer, ResMLP, and gMLP, whose architectures are correlated to image size and thus are infeasible in object detection ...
#密集预测# CycleMLP: A MLP-like Architecture for Dense Prediction 文中提出一个简单的 MLP-like 架构:CycleMLP,是视觉识别和密集预测的多功能骨干,与现代MLP架构不同,例如MLP-Mixer、ResMLP和gMLP,它们的…
This paper presents a simple MLP-like architecture, CycleMLP, which is a versatile backbone for visual recognition and dense predictions, unlike modern MLP architectures, e.g., MLP-Mixer, ResMLP, and gMLP, whose architectures are correlated to image size and thus are infeasible in object detectio...
ActiveMLP: An MLP-like Architecture with Active Token Mixer 论文:https://arxiv.org/abs/2203.06108 代码:https://github.com/microsoft/ActiveMLP/blob/main/models/activemlp.py 与CycleMLP的思路和实现都非常类似的一篇工作。直观上来看,本文将偏移量的约束放宽,使用了可学习...
However, whether it is possible to build a generic MLP-Like architecture on video domain has not been explored, due to complex spatial-temporal modeling with large computation burden. To fill this gap, we present an efficient self-attention free backbone, namely MorphMLP, which flexibly leverages...
从图中给出的形式可以看到,Cycle FC 实际上是一种在通道上进行特定位置的偏移(阶梯状采样,stair-like style)的通道 MLP。所以对于输入的形状要求不会太严苛。当然,至少偏移位置不能超出 HW 上限定的核尺寸。 从代码中可以看到,这里是限定了一个范围,通过让通道索引对其取模从而实现限定范围内的循环偏移,这里的实...
Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition (arxiv) This is a Pytorch implementation of our paper ViP, IEEE TPAMI 2022. MindSpore and Jittor code will be released soon. We present Vision Permutator, a conceptually simple and data efficient MLP-like architecture for...
论文题目:《Vision Permutator: A Permutable MLP-Like ArchItecture For Visual Recognition》 论文作者:Qibin Hou, Zihang Jiang, Li Yuan et al. 论文发表年份:2022.2 模型简称:ViP 发表期刊:IEEE Transactions on Pattern Analysis and Machine Intelligence ...
This paper presents ActiveMLP, a general MLP-like backbone for computer vision. The three existing dominant network families, i.e., CNNs, Transformers and MLPs, differ from each other mainly in the ways to fuse contextual information into a given token, leaving the design of more effective to...