A taxonomy of visual scenes: Typicality ratings and hierarchical classification
暂无分享,去创建一个
3⁄4 675 workers participated in 52,068 trials on Amazon Mechanical Turk 3⁄4 Workers saw array of images with a category name and definition: Task 1. Select the image that matches the definition (4AFC) Task 2. Select the 3 best exemplars from a set of 20 images Task 3. Select the 3 worst exemplars from the same set of 20 images 3⁄4 Images were drawn randomly for each trial, with each image appearing 8-10 times across the experiment 3⁄4 Prototypicality score = ((“best” votes) 0.9*(“worst” votes)) / appearances
[1] Krista A. Ehinger,et al. SUN database: Large-scale scene recognition from abbey to zoo , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.