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Hi. My name is Markus Knauer, and today I will present our approach. RECALL: Rehearsal-free continual learning for object classification. This is a joint research between the German Aerospace Center DLR and the Technical University of Munich. A mobile robot, like Justin, is operating in a continually changing environment. Therefore if the robot is exploring its surroundings, it is essential that it is able to learn new, never seen objects on the fly. And it is crucial that this learning is done without forgetting the previous knowledge. We tackle this challenge by continual learning, and we go even further as we dont want to save previously seen images. This is called rehearsal-free. The training procedure looks like this: New sequences of categories arrive over time. Here for example, five new household categories. Each new sequence has new, never seen categories. And the images of previous categories are not stored. The biggest challenge we face here is catastrophic forgetting. Le