Abstract: A communication method and a communications apparatus are provided. The communication method includes: sending, by a terminal device, a first indication message, where the first indication message is used to indicate a first time type and/or a first time precision, or the first indication message is used to indicate an access network device to send time information to the terminal device; receiving, by the terminal device, the time information; and synchronizing, by the terminal device, a time of the terminal device based on the time information. Correspondingly, a communications apparatus is further provided. According to the embodiments of this application, the terminal device can obtain, based on requirements of different application scenarios, a time type and/or time precision preferred by the terminal device.

Abstract: This application provides a communication method and a communications device. The method includes: obtaining, by a first communications device, authorization information, where the authorization information indicates that a second communications device is a device that needs to perform time synchronization; and providing, by the first communications device, time information for the second communications device based on the authorization information; or obtaining, by the first communications device, authorization information, where the authorization information indicates that the second communications device is not a device that needs to perform time synchronization; and skipping, by the first communications device, providing time information for the second communications device based on the authorization information, to avoid broadcasting the time information to all communications devices, so that a time synchronization service can be provided for a specific communications device.

Abstract: A content retrieval system uses a graph neural network architecture to determine images relevant to an image designated in a query. The graph neural network learns a new descriptor space that can be used to map images in the repository to image descriptors and the query image to a query descriptor. The image descriptors characterize the images in the repository as vectors in the descriptor space, and the query descriptor characterizes the query image as a vector in the descriptor space. The content retrieval system obtains the query result by identifying a set of relevant images associated with image descriptors having above a similarity threshold with the query descriptor.

Abstract: A video localization system localizes actions in videos based on a classification model and an actionness model. The classification model is trained to make predictions of which segments of a video depict an action and to classify the actions in the segments. The actionness model predicts whether any action is occurring in each segment, rather than predicting a particular type of action. This reduces the likelihood that the video localization system over-relies on contextual information in localizing actions in video. Furthermore, the classification model and the actionness model are trained based on weakly-labeled data, thereby reducing the cost and time required to generate training data for the video localization system.

Abstract: A content retrieval system uses a graph neural network architecture to determine images relevant to an image designated in a query. The graph neural network learns a new descriptor space that can be used to map images in the repository to image descriptors and the query image to a query descriptor. The image descriptors characterize the images in the repository as vectors in the descriptor space, and the query descriptor characterizes the query image as a vector in the descriptor space. The content retrieval system obtains the query result by identifying a set of relevant images associated with image descriptors having above a similarity threshold with the query descriptor.

Abstract: An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

Abstract: The disclosed embodiments include computer-implemented apparatuses and processes that dynamically predict future occurrences of targeted classes of events using adaptively trained machine-learning or artificial-intelligence processes. For example, an apparatus may generate an input dataset based on interaction data associated with a prior temporal interval, and may apply a trained, gradient-boosted, decision-tree process to the input dataset. Based on the application of the trained, gradient-boosted, decision-tree process to the input dataset, the apparatus may generate output data representative of an expected occurrence of a corresponding one of a plurality of targeted events during a future temporal interval, which may be separated from the prior temporal interval by a corresponding buffer interval.

Abstract: This application pertains to the field of sensors, and in particular, relates to a millimeter-wave radar, for example, a 77 GHz millimeter-wave radar, and provides an antenna structure, a radar, and a terminal, so that an operating bandwidth of an antenna can be extended. The solution in this application may be used for precision detection and distance detection in the field of autonomous driving or intelligent driving. The antenna structure includes a power division unit, a first antenna bay, and a second antenna bay. The first antenna bay is connected to a first output end of the power division unit, and the second antenna bay is connected to a second output end of the power division unit.

Abstract: This application provides a communication method and a communications apparatus. The communication method includes: determining, by a transmit end device, a first moment, where the first moment is a moment when a receive end device needs to deliver first data to an upper layer of a communications protocol layer of the receive end device; and sending, by the transmit end device, first indication information and the first data, where the first information is used to instruct the receive end device to deliver the first data to the upper layer of the communications protocol layer of the receive end device at the first moment. The receive end device can be supported in determining the first moment based on the first indication information and delivering the first data to the upper layer of the communications protocol layer at the first moment.

Abstract: An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

Abstract: In the method, the network device sends first signaling to a first terminal device, the first signaling is used to instruct the first terminal device to perform, on an unlicensed spectrum, a listen before talk LBT procedure used for occupying an unlicensed frequency band, and send uplink information within a first time length on the unlicensed frequency band; the network device receives, on the unlicensed spectrum, the uplink information from the first terminal device within the first time length, where the first time length is a part of maximum channel occupancy time obtained by the first terminal device on the unlicensed spectrum, and the first time length is less than the maximum channel occupancy time.

Abstract: A time synchronization method and an apparatus are disclosed. The method includes: receiving, by a terminal device, a first time sent by an access network device; obtaining a first transmission delay; obtaining a fourth time based on the first transmission delay and the first time; and synchronizing a time of the terminal device based on the fourth time.

Abstract: An apparatus includes a processor, and a non-transitory computer-readable storage medium coupled to the processor, and configured to store programmable instructions. When executed by the processor the programmable instructions cause the apparatus to maintain a transmission status of a previous data packet of a first access stratum entity, and adjust a transmission parameter of a current data packet, in response to the transmission status of the previous data packet being a transmission failure.

Abstract: A buffer status report processing method and an apparatus are disclosed. A network device determines a logical channel or a logical channel group for which a separate buffer status report BSR needs to be reported, and sends separate-BSR reporting indication information. A terminal device receives the separate-BSR reporting indication information sent by the network device, and reports the separate BSR for the logical channel or the logical channel group indicated in the separate-BSR reporting indication information. The network device receives the separate BSR reported by the terminal device, and determines, based on the separate BSR, uplink buffer data amount information corresponding to the logical channel or the logical channel group. According to the BSR processing method, resource scheduling accuracy of the network device is improved.

Abstract: Embodiments of the present disclosure provide a time service method, a terminal device, and a network device. The method includes: determining, by a terminal device, a first moment of a first downlink message, and determining a second moment of the first downlink message; determining, by the terminal device, a third moment of a first uplink message, and determining a fourth moment of the first uplink message; and determining, by the terminal device, a time offset between the terminal device and the network device based on the first moment, the second moment, the third moment, and the fourth moment. According to the method provided, a time service error is effectively reduced.

Abstract: The present disclosure provides a method, system, and terminal device for data transmission in an unlicensed spectrum, effectively reduce mutual signal interference between different systems while meeting regulation constraints on use of the unlicensed spectrum. The method in the present disclosure includes: at a processing start moment of a terminal device in a current channel occupancy time window of a network device, when remaining duration of the current channel occupancy time window of the network device is greater than or equal to duration for the terminal device to transmit a to-be-sent data packet to the network device, selecting based on a user attribute of the terminal device and from a mapping relationship between a user attribute and a transmission mode; and sending the to-be-sent data packet to the network device in the selected transmission mode.

Abstract: A content retrieval system uses a graph neural network architecture to determine images relevant to an image designated in a query. The graph neural network learns a new descriptor space that can be used to map images in the repository to image descriptors and the query image to a query descriptor. The image descriptors characterize the images in the repository as vectors in the descriptor space, and the query descriptor characterizes the query image as a vector in the descriptor space. The content retrieval system obtains the query result by identifying a set of relevant images associated with image descriptors having above a similarity threshold with the query descriptor.

Abstract: Embodiments of this application provide a communication method and a communications apparatus. The communication method includes: sending, by a terminal device, a first indication message, where the first indication message is used to indicate a first time type and/or a first time precision, or the first indication message is used to indicate an access network device to send time information to the terminal device; receiving, by the terminal device, the time information; and synchronizing, by the terminal device, a time of the terminal device based on the time information. Correspondingly, a communications apparatus is further provided. According to the embodiments of this application, the terminal device can obtain, based on requirements of different application scenarios, a time type and/or time precision preferred (prefer) by the terminal device.

Abstract: The present disclosure discloses an information transmission method, user equipment, an access network device, and a core network device. The method includes: determining, by user equipment UE when the UE is in an idle state, whether there is to-be-transmitted uplink information; and sending, by the UE, a first request message to a first access network device when the UE determines that there is to-be-transmitted uplink information, where the first request message is a first air interface message for the UE to switch from the idle state to a connected state, and the first request message carries uplink non-access stratum NAS information and air interface identity information that is stored on the UE.

Abstract: Example communication message sending methods and apparatus based on backoff duration are described. One example method includes that a terminal device sends an access request to a cell to which the terminal device belongs. The terminal device monitors a downlink control channel, and receives an access response message based on scheduling information on the downlink control channel. If the access response message carries a backoff access identifier, the terminal device determines a backoff parameter corresponding to the backoff access identifier in the access response message based on a correspondence that is pre-stored and that is between the backoff access identifier and the backoff parameter. The terminal device determines backoff duration based on the backoff parameter and an access resource interval period corresponding to the terminal device, and sends an access request to the cell after the backoff duration.