UPerNet is a general framework to effectively segment a wide range of concepts from images, leveraging any vision backbone like ConvNeXt or Swin. The abstract ... |
24 февр. 2023 г. · Here, we proposed a Swin-UperNet model for highly efficient and accurate segmentation of mangroves and Spartina alterniflora Loise in remote ... |
12 апр. 2021 г. · This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation. |
2 апр. 2024 г. · Swin-TransUper utilizes the Swin Transformer architecture, which allows for global contextual modeling and learning of spatial correlations. |
Semantic Segmentation on ADE20K ; 183. Swin-T · (UPerNet). 45.58 ; 184. DAT-T · (UperNet). 45.54 ; 185. iBOT (ViT-S/16). 45.4 ; 186. EANet (ResNet-101). 45.33. |
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation. |
I couldn't easily try Upernet-swin-V2 without using mmsegmentation, so I combined the scripts from the following repository. I hope it would help. |
16 февр. 2023 г. · In conclusion, Swin-UperNet is an efficient and accurate model for mangrove and Spartina alterniflora Loise segmentation synchronously, which ... |
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