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Found 2 papers, 1 papers with code
Memory-Free Generative Replay For Class-Incremental Learning
With the absence of old task images, they often assume that old knowledge is well preserved if the classifier produces similar output on new images.
Deep Self-Paced Learning for Person Re-Identification
In this paper, we propose a novel deep self-paced learning (DSPL) algorithm to alleviate this problem, in which we apply a self-paced constraint and symmetric regularization to help the relative distance metric training the deep neural network, so as to learn the stable and discriminative features for person Re-ID.
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