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
arXiv PDF paper https://arxiv.org/pdf/2310.14277.pdf
Project page https://github.com/YBIO/SurveyCSS
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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