Construct · 1 fields · 1 citations
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In computer vision, background bias refers to object classifiers' reliance on the image background rather than the foreground object, shown by swapping or removing backgrounds and watching accuracy change. This meaning comes from Xiao (2020) in arXiv.[1]
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