Abstract: The hierarchical occlusion inference method according to the exemplary embodiment of the present disclosure includes: deriving a bounding box feature of the object instance by receiving a region of interest color-depth FPN feature and the object region of interest feature derived from a cluttered scene image including at least one object instance, deriving a visible feature of the object instance by fusing the object region of interest feature and the bounding box feature, deriving an amodal feature of the object instance by fusing the object region of interest feature, the bounding box feature, and the visible feature, deriving an occlusion feature of the object instance by fusing the object region of interest feature, the bounding box feature, the visible feature, and the amodal feature, and inferring occlusion of an object instance by de-convoluting the occlusion feature of the object instance.

Abstract: Provided are a method and electronic device for identifying a size of a measurement target object. The method includes imaging a reference object, which is a reference for identifying the size of the measurement target object, to acquire a reference object image, imaging the measurement target object to acquire a target object image, fusing the acquired reference object image and the acquired target object image, and inputting the fused reference object image and target object image to a first neural network model to acquire size information of the measurement target object from the first neural network model.