10 citations · 26 across the 19 of their papers we have counts for
6 papers · 1 filter
A Deep Learning Framework for Boundary-Aware Semantic Segmentation
Tai An, Weiqiang Huang, Da Xu +3
As a fundamental task in computer vision, semantic segmentation is widely applied in fields such as autonomous driving, remote sensing image analysis, and medical image processing.…
Adaptive Transformer Attention and Multi-Scale Fusion for Spine 3D Segmentation
Yanlin Xiang, Qingyuan He, Ting Xu +3
This study proposes a 3D semantic segmentation method for the spine based on the improved SwinUNETR to improve segmentation accuracy and robustness. Aiming at the complex anatomica…
Deep Learning in Image Classification: Evaluating VGG19's Performance on Complex Visual Data
Weijie He, Tong Zhou, Yanlin Xiang +3
This study aims to explore the automatic classification method of pneumonia X-ray images based on VGG19 deep convolutional neural network, and evaluate its application effect in pn…
Few-Shot Learning with Adaptive Weight Masking in Conditional GANs
Jiacheng Hu, Zhen Qi, Jianjun Wei +3
Deep learning has revolutionized various fields, yet its efficacy is hindered by overfitting and the requirement of extensive annotated data, particularly in few-shot learning scen…
Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
Aoran Shen, Minghao Dai, Jiacheng Hu +3
In the 21st-century information age, with the development of big data technology, effectively extracting valuable information from massive data has become a key issue. Traditional…
Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm
Guanming Huang, Aoran Shen, Yuxiang Hu +3
This paper explores the application of knowledge distillation technology in target detection tasks, especially the impact of different distillation temperatures on the performance…