8.19论文阅读

文章目录

• [Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation](#Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation)
• • 方法
• [SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers](#SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers)
• • 方法
• [Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction](#Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction)
• • 方法

Graph-Segmenter: Graph Transformer with Boundary-aware Attention for Semantic Segmentation

方法

基于图的transformer,

有一定的参考价值

SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers

方法

就是层级思想

Deformable Mixer Transformer with Gating for Multi-Task Learning of Dense Prediction

方法

代码地址

他的这个是混合注意力