Figure 9 - uploaded by Yinpeng Chen
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Confusion matrices of four different variations: (a) baseline-1 (b) baseline-2, (c) BiC, (d) upper bound. Both baseline-1 and baseline-2 have strong bias towards new classes. BiC is capable to remove most of the bias and have similar confusion matrix with the upper bound. (Best viewed in color)
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Modern machine learning suffers from catastrophic forgetting when learning new classes incrementally. The performance dramatically degrades due to the missing data of old classes. Incremental learning methods have been proposed to retain the knowledge acquired from the old classes, by using knowledge distilling and keeping a few exemplars from the...
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... confusion matrices of these four variations are shown in Fig. 9. Clearly, baseline-1 and baseline-2 suffer from the bias towards the new classes (strong confusions on the last 20 classes). BiC reduces the bias and has similar confusion matrix to the upper ...
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