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Face-Edit-Attributes, the largest collection of $169$ facial editing attributes focused on hair, accessories, and pose edits, is presented, which shows that most models performed hair and accessory edits well, but struggled with editing pose.
This work investigated geo-biases in a Eurocentric driving dataset (Cityscapes) on the fine-grained localization task of instance segmentation and found that instance segmentation models trained on European driving scenes (Eurocentric models) were geo-biased.
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