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Vision-based self-localization is the ability to derive one's own location from visual input only without knowledge of a previous position or idiothetic information. It is often assumed that the visual mechanisms and invariance properties used for object recognition will also be helpful for localization. Here we show that this is neither logically reasonable nor empirically supported. We argue that the desirable invariance and generalization properties differ substantially between the twodblp:conf/ki/EberhardtZ13 fatcat:5p32totfczflxb3zishbwgppty