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CLCNet: Rethinking of Ensemble Modeling with Classification Confidence Network. (arXiv:2205.09612v1 [cs.LG])
May 20, 2022, 1:12 a.m. | Yao-Ching Yu, Shi-Jinn Horng
cs.LG updates on arXiv.org arxiv.org
In this paper, we propose a Classification Confidence Network (CLCNet) that
can determine whether the classification model classifies input samples
correctly. It can take a classification result in the form of vector in any
dimension, and return a confidence score as output, which represents the
probability of an instance being classified correctly. We can utilize CLCNet in
a simple cascade structure system consisting of several SOTA (state-of-the-art)
classification models, and our experiments show that the system can achieve the
following …
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