Unsupervised continual learning by cross-level, instance-group and pseudo-group discrimination with hard attention
Abstract: Highlights•We propose a novel UCL framework with zero forgetting, without a replay buffer.•Our approach incorporate cross-level instance-to-pseudo-instance discrimination into contrastive learning.•Our extensive experiments across standard datasets demonstrate performance improvements.
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