AI RESEARCH
MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
arXiv CS.CV
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ArXi:2604.07578v1 Announce Type: new Recognition of rodent behavior is important for understanding neural and behavioral mechanisms. Traditional manual scoring is time-consuming and prone to human error. We propose MSGL-Transformer, a Multi-Scale Global-Local Transformer for recognizing rodent social behaviors from pose-based temporal sequences. The model employs a lightweight transformer encoder with multi-scale attention to capture motion dynamics across different temporal scales.