ODIN	Out-of-Distribution in Neural Networks
MC	Monte Carlo dropout
GMM	Gaussian mixture model
KL divergence	Kullback–Leibler divergence
SONAR	Sound Navigation and Ranging
OOD	Out-of-Distribution
SVM	Support Vector Machine
LSTM	Long-Short Term Memory
ID	In-Distribution
MSP	Maximum Softmax Probability
JS divergence	Jenson-Shannon
CNN	Convolutional Neural Networks
AResNet	Attention Residual Networks
ResNet	Residual Networks
MFCC	Mel-Frequency Cepstral Coefficient
AConvBlocks	Attention-based residual blocks
ReLU	Rectified Linear Unit
CAM	Channel Attention Module
PReLU	Parametric Rectified Linear Unit
GDA	Gaussian Discriminant Analysis
LDA	Linear Discriminant Analysis
EM	Expectation-Maximization
AUROC	Area Under the Receiver Operating Characteristic Curve
FPR@95TPR	False Positive Rate at 95% True Positive Rate
AUPR	Area Under the Precision-Recall Curve
FP	False Positive
TN	True Negative
RTF	Real-Time Factor