Figure 2
From: Own-race and own-species advantages in face perception: a computational view
Discrimination performances.
(A,D.) The performances on the human and the chimpanzee (A) as well as the Asian and Caucasian face data sets (D) are plotted. Notably, as expected, if the training set contained examples from only one species (A), the performance tested on the other species degraded. A similar effect was observed for races (D). (B,C.) Change of the species ratio in the train set (from 1 (only chimpanzees) to 0 (only humans)) versus number of used dimensions in the feature space. Performances in color-code. (B.) Tested on chimpanzee faces, (C.) Tested on human faces. Note that performance changes with the species ratio in the train set signifying the adaption of the recognition system to a change in the input distribution. “Old” faces get partly forgotten by this process (i.e. trained on humans, tested on chimpanzees is worse than trained on chimpanzees and tested on chimpanzees). Accordingly, figures (E,F) show the change of race ratio in the train set versus number of used dimensions in the feature space. (G.) Cross-validation: The performances on the race comparison (left panel) as well as the species comparison (right panel) are plotted. In addition, performances on second other-class faces are shown in green boxplots. Notably, face samples come from both face databases (see methods) and y-axis label of (A, D and G) do not correspond.
