Perceived Shape Similarity among Unfamiliar Objects and the Organization of the Human Object Vision Pathway

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This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition (2020, background): “Perceptual similarity for humans however is biased towards shape [25, 31], but also based on e.”
Deep Neural Networks as a Computational Model for Human Shape Sensitivity (2016, methodology): “For their later study, Op de Beeck and colleagues [5] created a stimulus set of nine classes where the shape envelope (physical form) and stimulus category (or “perceived shape”) were manipulated orthogonally.”
Design and perceptual validation of performance measures for salient object segmentation (2010, methodology): “The PETS dataset [25], Goldmann’s dataset [12], and the ground truth dataset of lake boundaries used in [5] are limited to their respective domains of application.”