A real-time mouse tracking and ear-tag identity pipeline reports 95.28% identification accuracy and fewer ID switches than SLEAP and DeepLabCut on a 100-minute home-cage dataset.
Person re-identification by multi-channel parts-based cnn with improved triplet loss function
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Towards Continuous Home Cage Monitoring: An Evaluation of Tracking and Identification Strategies for Laboratory Mice
A real-time mouse tracking and ear-tag identity pipeline reports 95.28% identification accuracy and fewer ID switches than SLEAP and DeepLabCut on a 100-minute home-cage dataset.