A5044571562- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Retinal Imaging and Analysis
- Domain Adaptation and Few-Shot Learning
- Industrial Vision Systems and Defect Detection
- Brain Tumor Detection and Classification
- Vehicle License Plate Recognition
- Retinal and Optic Conditions
- Emotion and Mood Recognition
- Visual Attention and Saliency Detection
- Multimodal Machine Learning Applications
- Image Enhancement Techniques
- Face and Expression Recognition
- Advanced Computing and Algorithms
Xinjiang University
2021-2022
The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor various ophthalmic diseases, but also timely reflect systemic diseases such as diabetes blood diseases. Therefore, the study on is great significance for diagnosis visually threatening In recent years, especially convolutional neural networks (CNN) based UNet its variant have been widely in medical image tasks. However, although CNN has achieved excellent performance, it cannot learn global...
Abstract Most of the semantic segmentation real‐time networks improve speed by reducing spatial resolution, leading to accuracy being significantly reduced as a result. To solve this problem, we propose feature enhancement module (FEM), extraction and fusion (FEFM). By extracting enhancing future map before image down‐sample on backbone fusing low‐level features with rich details high‐level more information. Based FEM FEFM, introduce network network. In experiment, using Cityscapes CamVid...
For real-time semantic segmentation, how to expedite while maintaining the resolution of high quality is an ongoing and unresolved problem.The backbone design has always been two important parts segmentation. We designed a lightweight through multiple reuse features achieve most advanced In order this goal, we use encoder-decoder architecture solve problem. encoder new model downsampling methods for segmentation task. decoder have three different ways fuse semantics detailed information...