Abstract: Systems and methods for performing domain adaptation include collecting a labeled source image having a view of an object. Viewpoints of the object in the source image are synthesized to generate view augmented source images. Photometrics of each of the viewpoints of the object are adjusted to generate lighting and view augmented source images. Features are extracted from each of the lighting and view augmented source images with a first feature extractor and from captured images captured by an image capture device with a second feature extractor. The extracted features are classified using domain adaptation with domain adversarial learning between extracted features of the captured images and extracted features of the lighting and view augmented source images. Labeled target images are displayed corresponding to each of the captured images including labels corresponding to classifications of the extracted features of the captured images.

Abstract: A laterally deployable photovoltaic device and a solar vehicle are provided. The photovoltaic device includes at least one movable plate on which a solar cell module is arranged, a rotation drive apparatus which fixedly connects the movable plate to a vehicle body and a flipping apparatus. The rotation drive apparatus includes a fixed end and a drive end, and is secured to the vehicle body via the fixed end, the drive end of the rotation drive apparatus is fixedly connected to the movable plate, and the movable plate is driven by the rotation drive apparatus to rotate to a side of the vehicle body. A fixed end of the flipping apparatus is fixedly connected to the vehicle body, and a flipping adjusting end of the flipping apparatus is fixedly connected to the movable plate, for adjusting an angle of the movable plate relative to the vehicle body.

Abstract: Systems and methods of computer program code or business process design pattern recognition are provided. In embodiments, a method includes identifying, by the computing device, predefined elements and relationships between the elements in a digital industry product based on stored rules; generating, by the computing device, a diagram based on stored image rules, the diagram including graphical notations and text-based information representing the elements and the relationships between the elements; removing, by the computing device, the text-based information from the diagram to produce a modified diagram; and determining, by the computing device, that the modified diagram includes at least one predetermined pattern from a plurality of stored patterns using image object detection.

Abstract: A computer-implemented method for implementing face spoofing detection using a physical-cue-guided multi-source multi-channel framework includes receiving a set of data including face recognition data, liveness data and material data associated with at least one face image, obtaining a shared feature from the set of data using a backbone neural network structure, performing, based on the shared feature, a pretext task corresponding to face recognition, a first proxy task corresponding to depth estimation, a liveness detection task, and a second proxy task corresponding to material prediction, and aggregating outputs of the pretext task, the first proxy task, the liveness detection task and the second proxy task using an attention mechanism to boost face spoofing detection performance.

Abstract: A computer-implemented method for implementing face recognition includes receiving training data including a plurality of augmented images each corresponding to a respective one of a plurality of input images augmented by one of a plurality of variations, splitting a feature embedding generated from the training data into a plurality of sub-embeddings each associated with one of the plurality of variations, associating each of the plurality of sub-embeddings with respective ones of a plurality of confidence values, and applying a plurality of losses including a confidence-aware identification loss and a variation-decorrelation loss to the plurality of sub-embeddings and the plurality of confidence values to improve face recognition performance by learning the plurality of sub-embeddings.

Abstract: A computer-implemented method for implementing face recognition includes obtaining a face recognition model trained on labeled face data, separating, using a mixture of probability distributions, a plurality of unlabeled faces corresponding to unlabeled face data into a set of one or more overlapping unlabeled faces that include overlapping identities to those in the labeled face data and a set of one or more disjoint unlabeled faces that include disjoint identities to those in the labeled face data, clustering the one or more disjoint unlabeled faces using a graph convolutional network to generate one or more cluster assignments, generating a clustering uncertainty associated with the one or more cluster assignments, and retraining the face recognition model on the labeled face data and the unlabeled face data to improve face recognition performance by incorporating the clustering uncertainty.

Abstract: A packet control method, a flow table update method, and a node device including a first queue and a second queue, where the method includes: obtaining, by the node device, a first packet; determining, by the node device, that a data flow to which the first packet belongs is marked as an isolated flow; and if the first queue and/or the second queue meet and/or meets a first preset condition, controlling, by the node device, the first packet to enter the first queue and wait to be scheduled; or if the first queue and/or the second queue meet and/or meets a second preset condition, controlling, by the node device, the first packet to enter the second queue and wait to be scheduled.

Abstract: The present invention discloses a packet control method and a node device, to improve reliability of a data flow in a transmission process. The method includes: After receiving a pause frame, a first node automatically applies, based on adjustment information that is of a send queue of a data flow and that is recorded in a state record set, the pause frame to all queues associated in an adjustment process of the send queue of the data flow. In this way, a packet loss problem in a data transmission process can be avoided without adjusting an XOFF/XON threshold of a receive queue and without increasing a quantity of pause frames in a network system, thereby improving reliability of the data flow in the transmission process.

Abstract: A system is provided for pose-variant 3D facial attribute generation. A first stage has a hardware processor based 3D regression network for directly generating a space position map for a 3D shape and a camera perspective matrix from a single input image of a face and further having a rendering layer for rendering a partial texture map of the single input image based on the space position map and the camera perspective matrix. A second stage has a hardware processor based two-part stacked Generative Adversarial Network (GAN) including a Texture Completion GAN (TC-GAN) stacked with a 3D Attribute generation GAN (3DA-GAN). The TC-GAN completes the partial texture map to form a complete texture map based on the partial texture map and the space position map. The 3DA-GAN generates a target facial attribute for the single input image based on the complete texture map and the space position map.

Abstract: A computer implemented method for controlling camera exposure to augment a wiper system of a sensor enclosure. The computer implemented method can detect a presence of a wiper in one or more images captured by one or more cameras. An exposure time of the one or more cameras can be adjusted. Wiper speed can be adjusted such that wipers move in and out of one or more field of views of the one or more cameras while the one or more cameras are capturing images.

Abstract: Systems and method are provided for data self-protection. The systems and methods may involve installing a sentry on a computer system, the sentry including a file system filter installed on a kernel of that computer system; providing a central sentry platform in communication with the sentry, operating the central sentry platform to send a data self-protection policy to the sentry, the data self-protection policy being encrypted so that it can only be modified by the central sentry platform; operating the file system filter to control access to encrypted data stored on the computer system, by, for each process making a file access request to the encrypted data, the file system filter receiving and handling that file access request according to the data self-protection policy; and, operating the central sentry platform to monitor the sentry and to receive information from the sentry regarding access to the encrypted data.

Abstract: Block copolymers for use in block copolymer lithography, self-assembled films of the block copolymers and methods for polymerizing the block copolymers are provided. The block copolymers are characterized by high Flory-Huggins interaction parameters (?). The block copolymers can be polymerized from protected hydroxystyrene monomers or from tert-butyl styrene and 2-vinylpyridine monomers.

Abstract: Vehicles, methods, and computer readable storage media are provided for providing transportation of a gesturing pedestrian by an autonomous vehicle. The vehicle can be operated by identifying that an individual is interested in receiving a transportation. A second vehicle can then receive information about the individual that is interested in receiving the transportation. The first vehicle is then informed regarding the second vehicle.

Abstract: A cover defining an outer contour of a sensor enclosure with at least three identifiable portions stacked along a vertical axis. A first portion having a circular domed shape. A second portion, disposed underneath the first portion and coupled to a base of the first portion, having a truncated cone shape. The second portion includes one or more protruding grooves arranged diagonally about the vertical axis and imprinted on an outer surface of the second portion. The one or more protruding grooves channel a portion of an inlet airflow drawn into a cavity of the cover into a circular airflow. A third portion, disposed underneath the second portion and coupled to a base of the second portion, having a truncated cone shape.

Abstract: Disclosed are a teaching method and a teaching device for improving attention and a computer readable storage medium. The method includes the following operations: obtaining brainwave data of a user collected by an electroencephalograph (EEG) acquisition device, and calculating an attention value according to the brainwave data; switching to a training mode if the attention value is less than a first preset threshold; and obtaining an EEG feature of the user during training, and outputting and displaying an animation effect corresponding to the EEG feature to adjust the user's attention.

Abstract: Embodiments of this application relate to the field of communications technologies, and disclose a flow control method and apparatus, to resolve a prior-art problem such as packet loss, packet accumulation, or network congestion that occurs after a packet is switched between priority queues. A specific solution is as follows: A first device receives a first packet sent by a second device, where the first packet carries a first field and a second field, the first field carries a first priority, and the second field carries a second priority; the first device performs flow control based on the first priority in the first packet; and the first device performs queue scheduling on the first packet based on the second priority in the first packet.

Abstract: A method for implementing an unsupervised cross-domain distance metric adaptation framework with a feature transfer network for enhancing facial recognition includes recursively training a feature transfer network and automatic labeling of target domain data using a clustering method, and implementing the feature transfer network and the automatic labeling to perform a facial recognition task.

Abstract: Systems and methods are provided for segmenting a data frame to be acquired into a number of incremental data of equal data length. A first incremental data of the data frame can be acquired from one or more sensors. The first incremental data of the data frame can be processed while a next incremental data of the data frame is being acquired from the one or more sensors. The acquiring and processing of incremental data of the data frame can continue until a last incremental data of the data frame is acquired and processed. Processed incremental data can be outputted as a processed data frame.

Abstract: A computer-implemented method and a system for training a computer-based autonomous driving model used for an autonomous driving operation by an autonomous vehicle are described. The method includes: creating time-dependent three-dimensional (3D) traffic environment data using at least one of real traffic element data and simulated traffic element data; creating simulated time-dependent 3D traffic environmental data by applying a time-dependent 3D generic adversarial network (GAN) model to the created time-dependent 3D traffic environment data; and training a computer-based autonomous driving model using the simulated time-dependent 3D traffic environmental data.