RECALL: Rehearsal-free Continual Learning for Object Classification
Markus Knauer,Maximilian Denninger,Rudolph Triebel,Markus Knauer,Maximilian Denninger,Rudolph Triebel
Convolutional neural networks show remarkable results in classification but struggle with learning new things on the fly. We present a novel rehearsal-free approach, where a deep neural network is continually learning new unseen object categories without saving any data of prior sequences. Our approach is called RECALL, as the network recalls categories by calculating logits for old categories bef...