Fine-grained Recognition Based on WCDPM Model

Since it treats the parts equally, while the deformable parts model (DPM) cannot highlight distinctive parts that are helpful to distinguishing subtle categories. To cope with the problem mentioned above, a weighted coefficient deformable parts model (WCDPM) was proposed to highlight distinctive parts and decrease the influence of non-distinctive parts, which leaded to improving performance in terms of fine-grained recognition accuracy. The detailed processes of model training and coefficient learning were also presented. Experimental results of Airplan OID and Oxford-ⅢT Pet data sets demonstrate the effectiveness of the proposed method.