#feature-fusion News & Analysis

2 articles tagged with #feature-fusion. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Mar 46/103

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LLM-MLFFN: Multi-Level Autonomous Driving Behavior Feature Fusion via Large Language Model

Researchers developed LLM-MLFFN, a new framework combining large language models with multi-level feature fusion to classify autonomous vehicle driving behaviors. The system achieves over 94% accuracy on the Waymo dataset by integrating numerical driving data with semantic features extracted through LLMs.

AINeutralarXiv – CS AI · Mar 24/106

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Micro-expression Recognition Based on Dual-branch Feature Extraction and Fusion

Researchers developed a dual-branch neural network for micro-expression recognition that combines residual and Inception networks with parallel attention mechanisms. The method achieved 74.67% accuracy on the CASME II dataset, significantly outperforming existing approaches like LBP-TOP by over 11%.