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Fine-Grained Crowdsourcing for Fine-Grained Recognition
2013
2013 IEEE Conference on Computer Vision and Pattern Recognition
Fine-grained recognition concerns categorization at sub-ordinate levels, where the distinction between object classes is highly local. Compared to basic level recognition, fine-grained categorization can be more challenging as there are in general less data and fewer discriminative features. This necessitates the use of stronger prior for feature selection. In this work, we include humans in the loop to help computers select discriminative features. We introduce a novel online game called
doi:10.1109/cvpr.2013.81
dblp:conf/cvpr/DengK013
fatcat:4n4brjjy7fb3pbufe7apode4ea