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Jun, 2021
使用原型检测语义分割中的异常
Detecting Anomalies in Semantic Segmentation with Prototypes
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Dario Fontanel, Fabio Cermelli, Massimiliano Mancini, Barbara Caputo
TL;DR
提出由余弦相似度分类器轻量化地从训练数据中提取类原型,并通过原型学习的方式解决语义分割中的异常检测问题,达到了具有显著优势的最新技术水平,可应用于智能自主系统中。
Abstract
Traditional
semantic segmentation
methods can recognize at test time only the classes that are present in the training set. This is a significant limitation, especially for
semantic segmentation
algorithms mounte
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