3High-Resolution Transformer 3.1 Multi-resolution parallel transformer 遵循HRNet的设计,从高分辨率卷积作为第一阶段,逐步添加高分辨率到低分辨率的流作为新的阶段。多分辨率流是并行连接的。主体由一系列的阶段组成。在每个阶段,每个分辨率流的特征表示分别用多个Transformer Block 进行更新,并通过卷积多尺度融合模块进行跨...
主要有三点创新:(1)从HRNet中引入多分辨率并行设计的模式(简单来说就是将Transformer与HRNet相结合);(2)利用local-window self-attention(局部自注意力)节约内存和计算资源(将Swim-Transformer中局部自注意力发扬光大);(3)feed-forward network(FFN)中引入深度卷积(depth-wise convolution)来交换不同window之间的信息。
We present a High-Resolution Transformer (HRFormer) that learns high-resolution representations for dense prediction tasks, in contrast to the original Vision Transformer that produces low-resolution representations and has high memory and computational cost. We take advantage of the multi...
HRNet/HRFormerPublic NotificationsYou must be signed in to change notification settings Fork61 Star494 main BranchesTags Code README MIT license Introduction This is the official implementation ofHigh-Resolution Transformer (HRFormer). We present a High-Resolution Transformer (HRFormer) that learns hig...
尽管Transformer在广泛的视觉任务中取得了诱人的成功,但在高分辨率图像生成建模方面,Transformer还没有表现出与ConvNets同等的能力。在本文中,我们试图探索使用Transformer来构建用于高分辨率图像合成的生成对抗性网络。为此,我们认为局部注意力对于在计算效率和建模能力之间取得平衡至关重要。因此,所提出的生成器在基于风格的...
This repo is the official implementation of "StyleSwin: Transformer-based GAN for High-resolution Image Generation" (CVPR 2022). ByBowen Zhang,Shuyang Gu,Bo Zhang,Jianmin Bao,Dong Chen,Fang Wen,Yong WangandBaining Guo. Abstract Despite the tantalizing success in a broad of vision tasks, trans...
Many robotic tasks require knowledge of the exact 3D robot geometry. However, this remains extremely challenging in soft robotics because of the infinite degrees of freedom of soft bodies deriving from their continuum characteristics. Previous studies ha
In the foreseeable future, the intersection of Artificial Intelligence (AI) and materials science will necessitate the resolution of practical and scientific issues. Nonetheless, the attainment of process implementation by AI in the realm of machine learning techniques that entail copious amounts of data...
Despite the tantalizing success in a broad of vision tasks, transformers have not yet demonstrated on-par ability as ConvNets in high-resolution image generative modeling. In this paper, we seek to explore using pure transformers to build a generative adversarial network for high-resolution image ...
煎饼果子不要果子:【HRViT】HRViT: Multi-Scale High-Resolution Vision Transformer17 赞同 · 0 评论文章 但这篇本身是人家团队的拓展工作~ 主要思路和创新点 整体结构继续沿用了 HRNet: 画虚线的地方,也就是每个浅蓝色框里是新提出的 Transformer 模块。为了减少 Self-Attention 模块的计算成本,文章提出将其划分...