Survey of advances in continual learning in computer vision
Survey of advances in continual learning in computer vision
Recent Advances of Continual Learning in Computer Vision: An Overview
arXiv paper abstract https://arxiv.org/abs/2109.11369v1
arXiv PDF paper https://arxiv.org/pdf/2109.11369v1.pdf
In contrast to batch learning where all training data is available at once,
continual learning represents a family of methods that accumulate knowledge and learn continuously with data available in sequential order.
… present a comprehensive review of the recent progress of continual learning in computer vision.
… works are grouped by their representative techniques, including regularization, knowledge distillation, memory, generative replay, parameter isolation, and a combination of the above techniques.
For each category of these techniques, both its characteristics and applications in computer vision are presented.
… several subareas, where continuous knowledge accumulation is potentially helpful while continual learning has not been well studied, are discussed.
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