In this work, we explore whether the core self-attention module in Transformer is the key to achieving excellent performance in image recognition. To this end, we build an attention-free network called sMLPNet based on the existing MLP-based vision models. Specifically, ...
In this work, we explore whether the core self-attention module in Transformer is the key to achieving excellent performance in image recognition. To this end, we build an attention-free network called sMLPNet based on the existing MLP-based vision models. Specifically, we replace the MLP ...
因此,作者设计了一个无注意力的网络,称为sMLPNet,它只使用卷积和MLP作为构建块。sMLPNet采用了与ViT和MLP-Mixer类似的体系结构,且通道混合模块与他们完全相同。在每个token混合模块中,采用深度卷积来利用局部偏置,并使用改进的MLP来建模全局依赖关系。 具体来说,作者提出了具有轴向(即横向和纵向)全局依赖建模特征的...
Sparse MLP for Image Recognition: Is Self-Attention Really Necessary? 论文地址:arxiv.org/abs/2109.0542 代码地址:未开源 sMLP Block复现代码:github.com/xmu-xiaoma66 2. Motivation 自AlexNet提出以来,卷积神经网络(CNN)一直是计算机视觉的主导范式。随着Vision Transformer的提出,这种情况发生了改变。ViT将一个...
Zhang开发了一种FM支持的神经网络(FNN),它使用FM学习的特征嵌入来初始化DNN。Cheng提出了Wide&Deep,其中深度部分是一个多层感知器(MLP),用于连接特征嵌入向量以学习特征交互。Shan提出了用于ads预测的DeepCross,它通过用最先进的残差网络取代MLP,与Wide&Deep共享一个类似的框架。
Yet, we observe that it relies so heavily on the output of the LiDAR branch that the camera branch is not fully utilized to com- pensate for the weaknesses of the LiDAR branch. The MLP strategy has limited performance as it does not fuse cro...
NSA 的 token 压缩方式是三部分的叠加： （1）Compression：把 token 序列切成多个块，每块用MLP压缩成...
. The best PSNR result for each image is highlighted in bold. Although images with a lot of repeating structure are ideal for both KSVD and BM3D, we do outperform KSVD, BM3D, and WNNM on every image except Barbara. It is also shown that our SparsityAE is able to compete with MLP and...
All weights attention and MLP layers should be successfully loaded. The resulted SparseFormer should be fine-tuned to output meaningful results since the sampling & decoding and roi adjusting part are newly initialized. Maybe you can fine-tune it to be a CLIP-based open-vocabulary detector (have...
21 who observed that Multilayer Perceptron (MLP) models also showed limited accuracy in peak flow predictions when applied in runoff transfer learning. Nevertheless, despite these challenges, our hybrid model still managed to elevate the predictive performance of the Informer model alone, offering ...