少样本语义分割：方法学综述与挑战（英文版）

英文标题：Few Shot Semantic Segmentation: a review of methodologies and open challenges中文摘要：本篇论文对语义分割中的 Few-Shot Learning 进行了概述，提出了新的分类法，并描述了当前的局限性和展望。英文摘要：Semantic segmentation assigns category labels to each pixel in an image,enabling breakthroughs in fields such as autonomous driving and robotics. DeepNeural Networks have achieved high accuracies in semantic segmentation butrequire large training datasets. Some domains have difficulties building suchdatasets due to rarity, privacy concerns, and t