Learning new knowledge first and then forgetting selected classes outperforms the reverse order for a pretrained vision model, on classification, segmentation, and detection.
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Knowledge Swapping via Learning and Unlearning
Learning new knowledge first and then forgetting selected classes outperforms the reverse order for a pretrained vision model, on classification, segmentation, and detection.