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.
R.et al.Simple behavioral analysis (simba)–an open source toolkit for computer classification of complex social behaviors in experimental animals.BioRxiv2020–04 (2020)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.