Simultaneous Classification of Objects with Unknown Rejection Using Infra-Red Imagery

This method enhances the ability of pretrained classifiers to detect and reject unknown objects in infra-red images without altering their performance on known classes. It introduces a secondary network trained using regression to produce a class-conditional score, indicating whether an input belongs to a known class.

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