A5101796497- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Topic Modeling
- Industrial Vision Systems and Defect Detection
- Domain Adaptation and Few-Shot Learning
- Autonomous Vehicle Technology and Safety
- Advanced Graph Neural Networks
Shandong Jiaotong University
2023-2024
A vehicle detection algorithm is an indispensable component of intelligent traffic management and control systems, influencing the efficiency functionality system. In this paper, we propose a lightweight improvement method for YOLOv5 based on integrated perceptual attention, with few parameters high accuracy. First, module IPA Transformer encoder which leads to reduction in number while capturing global dependencies richer contextual information. Second, efficient multiscale spatial channel...
Vehicle detection algorithms are essential for intelligent traffic management and autonomous driving systems. Current vehicle largely rely on deep learning techniques, enabling the automatic extraction of image features through convolutional neural networks (CNNs). However, in real scenarios, relying only a single feature unit makes it difficult to fully understand information scenario, thus affecting effect. To address this issue, we propose lightweight algorithm based Mamba_ViT. First,...
Multi-hop Knowledge Graph Question Answering aims at finding an entity to answer natural language questions from knowledge graphs. When humans perform multi-hop reasoning, people tend focus on specific relations across different hops and confirm the next entity. Therefore, most algorithms choose wrong relation, which makes system deviate correct reasoning path. The relation each hop plays important role in question answering. Existing work mainly relies representation as information, cannot...