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Research on mid-level image representations has conventionally concentrated relatively obvious attributes and overlooked non-obvious attributes, i.e., characteristics that are not readily observable when images are viewed independently of their context or function. Non-obvious attributes are not necessarily easily nameable, but nonetheless they play a systematic role in people's interpretation of images. Clusters of related non-obvious attributes, called interpretation dimensions, emerge whenarXiv:1409.2668v1 fatcat:4ycj2yufnzhzfmwnzu5ogx6d2u