MSGL-Transformer reaches 75.4% accuracy on RatSI and 87.1% on CalMS21 for rodent behavior classification, beating TCN, LSTM, and several graph-based baselines.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
CNN classifies nine magnetic states from visualized atomistic spin dynamics simulation images using EfficientNetV1B0.
citing papers explorer
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MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition
MSGL-Transformer reaches 75.4% accuracy on RatSI and 87.1% on CalMS21 for rodent behavior classification, beating TCN, LSTM, and several graph-based baselines.
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CNN-Based Classifier for Automated Identification of Magnetic States in Spin Dynamics Simulations
CNN classifies nine magnetic states from visualized atomistic spin dynamics simulation images using EfficientNetV1B0.