Abstract: Provided are a memory device storing setting data and a memory system including the same. The memory device may include a cell array including a plurality of cell blocks, each including a plurality of pages, and a control logic that controls a program and read operation on the cell array, wherein at least one page of the cell array stores information data read (IDR) data including information related to a setting operation of the memory device, at least one other page of the cell array stores replica IDR data including inverted bit values of the IDR data, and the control logic controls a recovery operation for repairing errors in the IDR data by reading the replica IDR data when a read fail of the IDR data occurs.

Abstract: A semiconductor package includes a first semiconductor chip including a first semiconductor layer, a first through-electrode passing through the first semiconductor layer in a vertical direction, and a first bonding pad connected to the first through-electrode, and a second semiconductor chip including a second semiconductor layer on the first semiconductor chip, a wiring structure between the second semiconductor layer and the first semiconductor chip, a wiring pad connected to the wiring structure below the wiring structure, and a second bonding pad connected to the wiring pad below the wiring pad and in contact with the first bonding pad, wherein the second bonding pad includes a protrusion protruding toward the wiring pad.

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.