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...
最近Transformer在NLP任务中的成功启发了对视觉Transformer的研究。开创性的工作ViT提出了一种用于图像分类的纯基于Transformer的架构,并展示了Transformer在视觉任务中的巨大潜力。后来,Transformer在一系列具有鉴别力的任务中占据了基准测试的主导地位。然而,Transformer块中的自注意带来了二次计算的复杂性,这限制了它在高分...
基于Transformer的架构: 还介绍了一种新的基于Transformer的文本到图像生成架构。这种架构使用不同的权重处理图像和文本模态,并允许信息在图像和文本令牌之间双向流动,从而改善了文本理解、排版和用户偏好评分。 模型性能与公开数据: 该架构遵循可预测的规模趋势,并且低验证损失与通过各种指标和人类评估测量的改进的文本到图...
medical image segmentation adopt a U-Net-like architecture, which contains an encoder that converts the high-resolution input image into low-resolution feature maps using a sequence of Transformer blocks and a decoder that gradually generates high-resolution representations from low-resolution feature ...
Restormer: Efficient Transformer for High-Resolution Image Restoration。 摘要 由于卷积神经网络(CNN)在从大规模数据中学习可推广的图像先验方面表现出色,这些模型已被广泛应用于图像复原及相关任务。近年来,另一类神经架构——Transformer,在自然语言和高级视觉任务上取得了显著的性能提升。虽然Transformer模型缓解了CNN的...
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-resolution...
The very hackable transformer implementation minGPT The good ol' PatchGAN and Learned Perceptual Similarity (LPIPS) BibTeX @misc{esser2020taming, title={Taming Transformers for High-Resolution Image Synthesis}, author={Patrick Esser and Robin Rombach and Björn Ommer}, year={2020}, eprint={2012....
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
Restormer: Efficient Transformer for High-Resolution Image Restoration Syed Waqas Zamir1 Aditya Arora1 Salman Khan2 Munawar Hayat2,3 Fahad Shahbaz Khan2,4 Ming-Hsuan Yang5,6,7 1Inception Institute of AI 2Mohamed bin Zayed University of AI 3Monash University 4Link...
大佬链接:Restormer: Efficient Transformer for High-Resolution Image Restoration - 知乎 (zhihu.com) 一. Motivation 1.CNN感受野有限,因此无法对长距离像素相关性进行建模;卷积滤波器在推理时具有静态权重,因此不能灵活地适应输入内容 2. Transformer模型缓解了CNN的缺点(有限的感受野和对输入内容的不适应性),但是...