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 ...
Please like and share this post if you enjoyed it using the buttons at the bottom!
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
Comments