In real-world recognition/classification tasks, limited by various objective factors, it is usually difficult to collect training samples exhaust all classes when a recognizer or classifier. A more realistic scenario open set recognition (OSR), where incomplete knowledge of the world exists at time, and unknown can be submitted an algorithm during testing, requiring classifiers not only accurat...