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 ...
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