Survey of learning from only a few examples with computer vision applications
Survey of learning from only a few examples with computer vision applications
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
arXiv paper abstract https://arxiv.org/abs/2205.06743v1
arXiv PDF paper https://arxiv.org/pdf/2205.06743v1.pdf
Few-shot learning (FSL) … an effective learning method and shows great potential … learning valid information rapidly from just a few or even zero samples still remains a serious challenge.
… extensively investigated 200+ latest papers on FSL published in the past three years, aiming to present a timely and comprehensive overview of the most recent advances in FSL along with impartial comparisons of the strengths and weaknesses of the existing works.
… first elaborate and compare a set of similar concepts including few-shot learning, transfer learning, and meta-learning.
… propose a novel taxonomy to classify the existing work according to the level of abstraction of knowledge in accordance with the challenges of FSL.
… taking computer vision as an example … highlight the important application of FSL, covering various research hotspots.
… conclude the survey with unique insights into the technology evolution trends together with potential future research opportunities …
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
LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b
