A5102744202- Image and Object Detection Techniques
- Image Processing Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Advanced Clustering Algorithms Research
- Industrial Vision Systems and Defect Detection
- Advanced Chemical Sensor Technologies
- Face and Expression Recognition
- Text and Document Classification Technologies
- Infrastructure Maintenance and Monitoring
- Smart Agriculture and AI
Shenzhen University
2025
Kunming University of Science and Technology
2023
Dalian University of Technology
2009
To better utilize multimodal information for agriculture applications, this paper proposes a cherry tomato bunch detection network using dual-channel cross-feature fusion. It aims to improve performance by employing the complementary of color and depth images. Using existing YOLOv8_n as baseline framework, it incorporates cross-fusion attention mechanism feature extraction In backbone network, ShuffleNetV2 unit is adopted optimize efficiency initial extraction. During fusion stage, two...
Compared with traditional vibration measurement sensors, visual displacement technology has many advantages, such as long distance, non-contact, and non-interference. However, when it comes to complex working conditions or inconvenient preprocessing scene, measuring techniques usually cannot produce results the high precision needed for analysis. In this article, we proposed a algorithm of rotating body using semantic segmentation network by taking high-speed industrial camera image...
Recently spectral clustering has become one of the most popular algorithms. Although it many advantages, still a lot shortcomings which should be resolved, such as there are wide variety algorithms that use eigenvectors in slightly different ways and these have no proof they will actually compute reasonable clustering. The method based on normalized cut criterion is very efficient method. In this paper, we give note why choose first k algorithm (rationality clustering) conditions for...