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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