Mirko Mählisch

Knowledge Distillation for Semantic Segmentation: A Label Space Unification Approach

An increasing number of datasets sharing similar domains for semantic segmentation have been published over the past few years. But despite the growing amount of overall data, it is still difficult to train bigger and better models due to inconsistency in taxonomy and/or labeling policies of differe