Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction
IEEE Transactions on Pattern Analysis and Machine Intelligence(2022)
摘要
In this paper, we study the problem of estimating subjective visual properties (SVP) for images, which is an emerging task in Computer Vision. Generally speaking, collecting SVP datasets involves a crowdsourcing process where annotations are obtained from a wide range of online users. Since the process is done without quality control, SVP datasets are known to suffer from noise. This leads to the ...
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关键词
Noise measurement,Annotations,Task analysis,Predictive models,Robustness,Visualization,Training
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