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Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristics
With the development and widespread application of digital image processing technology, image splicing has become a common method of image manipulation, raising numerous security and legal issues.
Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
This study proposes a multi-modal fusion framework Multitrans based on the Transformer architecture and self-attention mechanism.
Research on Detection of Floating Objects in River and Lake Based on AI Intelligent Image Recognition
With the rapid advancement of artificial intelligence technology, AI-enabled image recognition has emerged as a potent tool for addressing challenges in traditional environmental monitoring.
A Multimodal Fusion Network For Student Emotion Recognition Based on Transformer and Tensor Product
This paper introduces a new multi-modal model based on the Transformer architecture and tensor product fusion strategy, combining BERT's text vectors and ViT's image vectors to classify students' psychological conditions, with an accuracy of 93. 65%.
Improved YOLOv5 Based on Attention Mechanism and FasterNet for Foreign Object Detection on Railway and Airway tracks
In recent years, there have been frequent incidents of foreign objects intruding into railway and Airport runways.
An Efficient Density-based Clustering Algorithm for Higher-Dimensional Data
Furthermore, we adopt an efficient union-find algorithm to maintain the clustering information in order to reduce redundancies in the merging.
