… :Semantic segmentation using remote sensing images is an … of remote sensing images is
proposed, which combines the … 的Res2Net50[18] 作为主干网络,UNet,PSPNet 均采 用带有预…

… semantic segmentation network for remote sensing images. … It combines the popular
Transformer network architecture and … ,UNet,PSPNet, DeeplabV3+,A2-FPN,and Swin Transformer)…

… road scene semantic segmentation algorithm based on Swin … 原始的Swin Transformer 采用
Patch Merging 模块 来进行窗口… algorithms such as FCN, PSPNet, U-Net, and DeepLab have …

… extraction and semantic understanding, semantic segmentation … -deep combination, and
strategy fusion. The current mainstream … ic segmentation of very-high-resolution remote sensing …

… 从表7可以看 出,相比于只有单流结构的CNN 模型UNet 和 … for semantic segmentation of
fine-resolution remote sensing … network from remote sensing imagery combining depthwise …

… tively combines the strengths of convolutional neural networks (CNN) and Transformers, …
[Conclusions] The experimental results show that the UperNet-ESA semantic segmentation …

… of dense small targets in remote sensing images, an adaptive … 图在Patch Merging层进行下
采样,之后输入Swin Transformer … for accurate object detection and semantic segmentation[C]//…

… ]提出一种轻量级的Moblie-Unet 实现对织物 缺陷像素级的分割.… 变换,patch merging 层用于下
采样,核心模块是swin transformer … transformer for semantic segmentation[C]∥2021 IEEE/ CVF …

… combining YOLO models and 3D GPR images in road detection and maintenance. Remote
Sensing,… Rethinking semantic segmentation from a sequence-to-sequence perspective with …

… transformer based semantic segmentation scheme for fine-resolution remote sensing images…
the shuffle attention (SA) mechanism are combined to enhance the spatial characteristics of …