Algorithm Design and Optimization for Knowledge Fusion: A Graph Matching-based Approach
A Multi-Scale Attention-Based Model for Image Enhancement and Classification
An Empirical Study on Factors of Influence for Single-Frame Supervised Temporal Action Detection
Strategic Construction of Initial Datasets for Active Learning: Leveraging Self-Supervised Learning
Research on multimodal link prediction method based on Vision Transformer and convolutional neural network
Early prediction of Alzheimer's disease based on attention mechanism of WCNN and multi-modal feature fusion
Efficient, Calibrated, and Interpretable Uncertainty Quantification for Deep Learning Classification
Enhanced Data Augmentation for Infrared Images with Generative Adversarial Networks Aided byPretrained Models
Applying Natural Language Processing to Knowledge Graph Construction: Design and Implementation of a Knowledge Extraction Algorithm
Dual-Branch Underwater Image Enhancement Utilizing Bidirectional Supervision Loss, Contrast Loss, and Style Transfer Loss