Abstract: Disclosed is an all-solid-state battery capable of suppressing volume expansion during charging and discharging.

Abstract: A display device includes a first substrate and a second substrate facing each other; and a filling layer disposed between the first substrate and the second substrate. The first substrate comprises a support substrate comprising a display area in which emission areas associated with sub-pixels, are arranged; a light-emitting element layer disposed on one surface of the support substrate; and an encapsulation layer disposed on the light-emitting element layer. The encapsulation layer comprises a first inorganic layer covering the light-emitting element layer; an organic layer disposed on the first inorganic layer and overlapping the light-emitting element layer; and a second inorganic layer disposed on the first inorganic layer and covering the organic layer. A thickness of the first inorganic layer is smaller than a thickness of the second inorganic layer.

Abstract: An electroluminescent display device includes an electroluminescent display device includes a substrate; a first pixel row on the substrate including a first plurality of pixels arranged along a first direction; a second pixel row on the substrate including a second plurality of pixels arranged along the first direction, the second pixel row being spaced apart from the first pixel row in a second direction; a first groove between the first and second pixel rows; and a light emitting diode in each pixel of the first and second pixel rows, wherein the first groove includes a first portion at one end of the first pixel row, a second portion at the other end of the first pixel row and a third portion between the first and second portions, and wherein third portion is smaller than the first portion and greater than the second portion.

Abstract: Provided is a peptide composition for preventing or treating Alzheimer's dementia. A peptide or a salt substituent thereof according to the presently claimed subject matter exhibits effects such as suppression of LPS-mediated cytokine production, suppression of LPS-induced neuroinflammation, amelioration of cognitive impairment, suppression of beta amyloid or tau protein aggregation, and suppression of neuronal loss. The polypeptide or the salt substituent thereof can permeate the blood-brain barrier, and thus, is expected to be usefully used for preventing or treating Alzheimer's dementia.

Abstract: Disclosed is an anodeless all-solid-state battery which may effectively control local volume expansion due to lithium deposited during charging of the battery. The all-solid-state battery includes an anode current collector, an intermediate layer located on the anode current collector, a solid electrolyte layer located on the intermediate layer, a cathode active material layer located on the solid electrolyte layer and including a cathode active material, and a cathode current collector located on the cathode active material layer. The intermediate layer includes carbon particles and metal particles alloyable with lithium, and the carbon particles include a first carbon material, e.g., as a spherical carbon material, and a second carbon material, e.g., a linear carbon material.

Abstract: An object detection training method and apparatus are provided. The object detection training apparatus determines a pose and a dimension of an object, and a bounding box at various viewpoints from an input image based on an object detection model, and trains the object detection model based on a loss.

Abstract: A processor-implemented method with neural network training includes: determining first backbone feature data corresponding to each input data by applying, to a first neural network model, two or more sets of the input data of the same scene, respectively; determining second backbone feature data corresponding to each input data by applying, to a second neural network model, the two or more sets of the input data, respectively; determining projection-based first embedded data and dropout-based first view data from the first backbone feature data; and determining projection-based second embedded data and dropout-based second view data from the second backbone feature data; and training either one or both of the first neural network model and the second neural network model based on a loss determined based on a combination of any two or more of the first embedded data, the first view data, the second embedded data, the second view data, and an embedded data clustering result.

Abstract: A method of detecting a 3D object from a 2D image includes receiving a 2D image including an object, acquiring an object detection region from the 2D image, iteratively searching for candidates for a direction of a volume including the object of the 2D image in a 3D coordinate system based on the object detection region, and detecting the volume from the 3D coordinate system based on results of the iterative searching.

Abstract: There is provided an application stored in a computer-readable storage medium for a first terminal to perform a method of providing a video call service, the method including: establishing a video call session between the first terminal of a first user and a second terminal of a second user; preparing facial expression information of the second user accumulated in at least one video call session executed by the second terminal before the video call session; determining emotion information corresponding to the facial expression information of the second user based on the facial expression information of the second user; and providing the determined emotion information through an execution screen of the first terminal.

Abstract: Provided is an application stored in a computer-readable storage medium to perform a method of providing a video call service using icon information corresponding to a facial expression of a user.

Abstract: An image recognition method using a region-based convolutional neural network (R-CNN) includes generating a feature map from an input image, detecting one or more regions of interest (ROIs) in the feature map, classifying the ROIs into groups based on setting information, performing pooling on the ROIs classified into the groups independently for each of the groups, and performing a regression operation on a result of the pooling and applying an image classifier to a result of the regression operation.

Abstract: An autonomous vehicle and method of providing driving information of an autonomous vehicle, the method includes acquiring outside situation data via a sensor in the autonomous vehicle, generating, based on the acquired outside situation data, a local map comprising the autonomous vehicle, one or more external vehicles within a threshold distance from the autonomous vehicle, and a road on which the autonomous vehicle is travelling, and displaying the generated local map on a display of the autonomous vehicle.

Abstract: A method of detecting a 3D object from a 2D image includes receiving a 2D image including an object, acquiring an object detection region from the 2D image, iteratively searching for candidates for a direction of a volume including the object of the 2D image in a 3D coordinate system based on the object detection region, and detecting the volume from the 3D coordinate system based on results of the iterative searching.

Abstract: Provided is an application stored in a computer-readable storage medium to perform a method of providing a video call service using icon information corresponding to a facial expression of a user.

Abstract: An object detection training method and apparatus are provided. The object detection training apparatus determines a pose and a dimension of an object, and a bounding box at various viewpoints from an input image based on an object detection model, and trains the object detection model based on a loss.

Abstract: Provided is an application stored in a computer-readable storage medium to perform a method of providing a video call service using icon information corresponding to a facial expression of a user.

Abstract: Provided is an application stored in a computer-readable storage medium to perform a method of providing a video call service using icon information corresponding to a facial expression of a user.

Abstract: An autonomous vehicle and method of providing driving information of an autonomous vehicle, the method includes acquiring outside situation data via a sensor in the autonomous vehicle, generating, based on the acquired outside situation data, a local map comprising the autonomous vehicle, one or more external vehicles within a threshold distance from the autonomous vehicle, and a road on which the autonomous vehicle is travelling, and displaying the generated local map on a display of the autonomous vehicle.

Abstract: An image recognition method using a region-based convolutional neural network (R-CNN) includes generating a feature map from an input image, detecting one or more regions of interest (ROIs) in the feature map, classifying the ROIs into groups based on setting information, performing pooling on the ROIs classified into the groups independently for each of the groups, and performing a regression operation on a result of the pooling and applying an image classifier to a result of the regression operation.

Abstract: There is provided an application stored in a computer-readable storage medium for a first terminal to perform a method of providing a video call service, the method including: establishing a video call session between the first terminal of a first user and a second terminal of a second user; preparing facial expression information of the second user accumulated in at least one video call session executed by the second terminal before the video call session; determining emotion information corresponding to the facial expression information of the second user based on the facial expression information of the second user; and providing the determined emotion information through an execution screen of the first terminal.