Affet-DML:Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning

Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning. Human affect recognition is a well-established research area with numerous applications, e.g. in psychological care, but existing methods assume that all emotions-of-interest are given a priori as annotated training examples.

Installation of the environment

please see requirements.txt

Running of the code

Please use python train_best.py