GitHub

Swin-chart: An efficient approach for chart classification

Swin-Chart is a Swin Transformer-based model for chart classification across various datasets. It achieved first place in the chart classification task at the ICDAR 2023 CHART Infographics competition ...
IEEE

Swin-RGC: Swin-Transformer With Recursive Gated Convolution for Substation Equipment Non-Rigid Defect Detection

Abstract: Substation equipment defects are important factors affecting the safe operation of power grids. However, many non-rigid defects have low detection accuracy and poor robustness,due to ...
IEEE

Swin-CFNet: An Attempt at Fine-Grained Urban Green Space Classification Using Swin Transformer and Convolutional Neural Network

Abstract: Urban green space plays a critical role in contemporary urban planning and ecology as they provide recreational space for residents, promote ecological balance, and enhance the quality of ...