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May, 2023
基于图神经网络的开放环境校准学习
Learning for Open-World Calibration with Graph Neural Networks
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Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang...
TL;DR
通过将表示紧凑性度量值集成到聚类中,我们处理开放世界识别的阈值校准问题,并提出了一种基于图神经网络的统一框架来预测假标签和vMF浓度,以实现更为稳健的距离阈值校准。
Abstract
We tackle the problem of
threshold calibration
for
open-world recognition
by incorporating
representation compactness
measures into
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