Transformers
Types Of Transformers
Encoding
Source Transformation
Energy Losses in Transformers
Stereotype Content Model
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
Published on: July 5, 2024
Qin Xu1, Shan Song2, Qihang Wu2
1Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, Anhui University, Hefei, 230601, China; Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Anhui University, Hefei, 230601, China; School of Computer Science and Technology, Anhui University, Hefei, 230601, China.
本研究介绍了用于图像标题的多级语义意识转换器 (MLSAT). 通过专注于突出物体,MLSAT增强了视觉表现,大大提高了标题的性能,与现有的方法相比.
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