Abstract: Methods and apparatuses for performing object recognition are provided. The method includes: by converting a first feature of a target object extracted using a first extraction model to a feature space of a second extraction model through a first feature conversion model, obtaining a second feature of the target object in the feature space; by matching the second feature of the target object with features of objects in a matching library, obtaining a target feature matched with the second feature of the target object; determining an object to which the target feature belongs as a matching object of the target object. Thus, the present disclosure can save time length of object recognition.