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Survey of incremental semantic segmentation

Survey of incremental semantic segmentation


A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application

arXiv paper abstract https://arxiv.org/abs/2310.14277



Continual learning, also known as incremental learning or life-long learning ... enables continuous adaptive learning on open-set conditions.


... Continual semantic segmentation (CSS), of which the dense prediction peculiarity makes it a challenging, intricate and burgeoning task.


... present a review of CSS, committing to building a comprehensive survey on problem formulations, primary challenges, universal datasets, neoteric theories and multifarious applications.


... begin by elucidating the problem definitions and primary challenges.


Based on an in-depth investigation of relevant approaches ... sort out and categorize current CSS models into two main branches including data-replay and data-free sets.


In each branch, the corresponding approaches are similarity-based clustered and thoroughly analyzed, following qualitative comparison and quantitative reproductions on relevant datasets ...



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