Topic: shape cues

Primates visually identify objects primarily by shape and also by texture. Models of primate vision based on convolutional neural networks (CNNs) achieve high object recognition performance but, unlike primates, emphasize texture over shape. Overcoming this texture bias and making models more brain-like requires data sets that distinguish how shape and texture cues interact in mid-level visual processing. To this end, we created sets of images that parametrically varied between objects and textures, and recorded responses to these images from populations of single units in macaque mid-level vi