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Apr, 2023
提高人脸模型身份鲁棒性
Improving Identity-Robustness for Face Models
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Qi Qi, Shervin Ardeshir
TL;DR
本研究提出使用人脸识别嵌入向量作为代理标识,通过加权样本来强制实现模型的稳健性和性能均匀性,在不需要注释的情况下提高模型的标识相关性的稳健性和性能。
Abstract
Despite the success of
deep-learning
models in many tasks, there have been concerns about such models learning shortcuts, and their lack of
robustness
to irrelevant confounders. When it comes to models directly t
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