An overview on Meta-learning approaches for Few-shot Weakly-supervised Segmentation

Pedro Henrique Targino Gama, Hugo N. Oliveira, Jefersson A. dos Santos, Roberto M. Cesar

Abstract: Highlights•A review of Non-Meta-Learning methods for weakly-supervised segmentation.•A review of Meta-Learning approaches for few-shot segmentation and classification.•A proposed taxonomy to Meta-Learning methods for few-shot semantic segmentation.•Limitations and future directions for few-shot weak-supervised segmentation.