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This document discusses a study that developed an improved neural network called ResNAM for pig face recognition. ResNAM combines a residual neural network (ResNet) with an attention mechanism (NAM) to extract features from pig face images. The researchers tested ResNAM on a dataset of over 12,000 pig face images from 37 pigs. ResNAM achieved 95.28% accuracy for open-set pig face recognition, which is 2.61% higher than a human face recognition model. NAM was more effective at improving performance than othe

Author

jonathan3700

Language

EN