Abstract: Provided is a damping hinge for controlled closing of a door or gate. The damping hinge includes a first clamp plate configured to be mounted to a fixed supporting panel; a second clamp plate configured to be mounted to a panel of the door or gate, wherein the second clamp plate is connected with the first clamp plate for relative rotation about a hinge axis; and a damping mechanism arranged on one of the first clamp plate and the second clamp plate and including a damper arranged substantially parallel to the hinge axis and configured to retard or control relative rotation of the second clamp plate towards the first clamp plate during closing of the hinge. The damping mechanism may be arranged such that the damping mechanism is located outside of a plane of the respective panel and adjacent or next to an outer or facing surface of that panel.

Abstract: The present disclosure provides a source driver IC, a mode control method and a display device. The source driver IC is connected to a timing controller, and the source driver IC includes a state detection module, a logic control module and a first mode control module. The state detection module is configured to detect whether a lock signal output by the source driver IC to the timing controller is switched from a first level to a second level. The logic control module is configured to control the first mode control module to enable a first recognition mode to perform a first correctness check on a driving information of one or more image frames when the lock signal is switched from the first level to the second level; and control the first mode control module to disable the first recognition mode after a target condition is satisfied.

Abstract: There is provided a method of forming an association between a mobile terminal and a first autonomous vehicle. When such an association is made then the display of the first autonomous vehicle is mirrored on the mobile terminal. After one or more tasks gave been performed then the mobile terminal will be associated with a second mobile terminal and the display of the second autonomous vehicle will be mirrored on the mobile terminal.

Abstract: A computing system receives a user query and inputs the user query into a language model to generate domain-specific language code based on the user query. The system then generates a subgraph based on the domain-specific language code, assembles the subgraph into a package, and generates a visual effect by executing the package.

Abstract: Example embodiments of the present disclosure relate to a method, an electronic device, a computer readable storage medium, and a computer program product for image editing based on an editing instruction using an editing model. In the solution, a model input comprising an original image and an editing instruction may be input into a trained editing model to obtain a model output which comprises an edited image corresponding to the model input. The trained editing model is determined based on a training dataset comprising a plurality of positive and negative sample pairs, where a positive sample in a positive and negative sample pair comprises original sample data, a right instruction, and edited sample data, and a negative sample in the positive and negative sample pair comprises the original sample data, a wrong instruction, and the edited sample data.

Abstract: The present disclosure provides a display device and a display control method. The display device includes a power supply system, a detector and a source driver IC. The power supply system is configured to provide a common voltage and a data driving voltage for the source driver IC. The detector is configured to detect whether there are multiple continuous frames of black data in display data output by the source driver IC, and send a display control signal to the source driver IC when the multiple continuous frames of the black data exist. The source driver IC is configured to short to the common voltage according to the display control signal when the display device displays a first frame of the black data, and access the data driving voltage according to the display control signal when the display device displays a last frame of the black data.

Abstract: The present disclosure provides a source driver IC, a mode control method and a display device. The source driver IC is connected to a timing controller, and the source driver IC includes a state detection module, a logic control module and a first mode control module. The state detection module is configured to detect whether a lock signal output by the source driver IC to the timing controller is switched from a first level to a second level. The logic control module is configured to control the first mode control module to enable a first recognition mode to perform a first correctness check on a driving information of one or more image frames when the lock signal is switched from the first level to the second level; and control the first mode control module to disable the first recognition mode after a target condition is satisfied.

Abstract: Examples are provided relating to system evolving architectures for refining media content editing systems. One aspect includes a method of refining a media content editing architecture, the method comprising: editing a media content using a large language model and a back-end tool service comprising a prompt pool and a plurality of application programming interfaces corresponding to a plurality of editing tools; publishing the edited media content; storing contextual information relating to the editing of the media content; and refining the media content editing architecture using the stored contextual information.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for long video understanding. One of the methods includes obtaining a video; extracting frames from the video; encoding the extracted frames; extracting multimodal features including encoding speech content from the video as a text modality; encoding spatiotemporal dependencies between the extracted frames and aligned multi-modal features; providing the encoded temporal dependencies to a language model (LM) that learns spatiotemporal understanding of the entire video content; and using the language model to respond to user queries about the content of the video.

Abstract: Embodiments of the disclosure relate to a method, an apparatus, a device and a computer readable storage medium for generating data. The method proposed herein includes: obtaining a first feature representation by sampling from a target feature space, the target feature space being determined by processing a set of training samples with an encoding unit; processing the first feature representation with a diffusion unit to determine a second feature representation; and providing a second feature representation to a pre-trained language model to generate a target data sample.

Abstract: The present application discloses a model training method, an image editing method, an apparatus, a device, a medium, and a product. The method includes: first acquiring an original image, an editing description text corresponding to the original image, an edited image corresponding to the original image with respect to the editing description text, and evaluation information of the edited image, enabling the evaluation information to describe the state of the edited image in at least one evaluation item. Then the original image, the editing description text and the evaluation information by using an image editing model are processed to obtain an image editing result corresponding to the original image. According to the difference between the image editing result and the edited image, the image editing model is updated.

Abstract: The present disclosure describes techniques for improving efficiency and flexibility of a machine learning model. A machine learning model is configured to decompose self-attention in the machine learning model into a plurality of attention operations. The machine learning model is configured to process information from a plurality of modalities. Concatenated tokens are received by the machine learning model. The concatenated tokens comprise multimodal tokens representative of a content item and textual tokens indicative of a text query. Updated multimodal tokens for a next layer of computation are generated by performing diagonal-attention on the multimodal tokens. Updated textual tokens for the next layer of computation are generated by performing self-attention on the textual tokens and performing cross-attention between the multimodal tokens and the textual tokens.

Abstract: A method is provided for shunting route setting of a centralized traffic control system. The method includes S1, acquiring a shunting operation plan from an interface of a SMIS and generating a shunting route sequence, by a centralized traffic control system; S2, adding an operation direction, a location identifier of a shunter, a current control mode of the shunter and a description of a next route based on an original shunter number of the centralized traffic control system; S3, configuring a manual setting mode and an automatic triggering mode for shunting route setting; S4, adding identifiers of the manual setting mode and the automatic triggering mode to shunter number display; and S5, in the manual setting mode, adding a shunting plan constraint state and a free setting state to a shunting route setting logic of the centralized traffic control system.

Abstract: The present disclosure describes techniques for generating video descriptions using a machine learning model. A plurality of sets of visual tokens corresponding to a plurality of frames of a video is generated. A first type of tokens is generated by implementing temporal pooling on the plurality of sets of visual tokens corresponding to the plurality of frames. A second type of tokens is generated by compressing each of the plurality of sets of visual tokens corresponding to each of the plurality of frames. A third type of tokens is generated by applying cross-attention between each of the plurality of sets of visual tokens and a fourth type of tokens including text tokens generated based on an input text query. A text description of the video is generated based on the first type of tokens, the second type of tokens, the third type of tokens, and the fourth type of tokens.

Abstract: Embodiments of the disclosure relate to a method, an apparatus, a device, and a computer-readable storage medium for training a generative model. The method includes: constructing a training prompt; and performing a plurality of rounds of iterative training based on the training prompt, wherein each round of iterative training includes: obtaining a plurality of response contents generated by the generative model based on the training prompt; determining a first response content and a second response content from the plurality of response contents based on evaluation information of the plurality of response contents, wherein an evaluation of the first response content is superior to an evaluation of the second response content; and adjusting a parameter of the generative model to increase a first probability of outputting the first response content and reduce a second probability of outputting the second response content.

Abstract: A method, apparatus, device, and computer-readable storage medium for image processing are provided. The method includes receiving a text input for an initial image, the text input describing a visual effect for the initial image. A fusion feature for the text input and the initial image is generated based on the text input and the initial image. A target image corresponding to the initial image is generated based on a first image feature of the initial image and the fusion feature, the target image having a visual element related to the visual effect. The fusion of text and image can better express the desired visual effect.

Abstract: A display device and a driving method thereof are provided. The driving method includes the following steps: simultaneously controlling switches of an M-th row of sub-pixels and a (M+2)-th row of sub-pixels to be turned on or off, and sequentially controlling switches of four adjacent rows of the same color sub-pixels to be turned on or off.

Abstract: Examples are provided relating to system evolving architectures for refining media content editing systems. One aspect includes a method of refining a media content editing architecture, the method comprising: editing a media content using a large language model and a back-end tool service comprising a prompt pool and a plurality of application programming interfaces corresponding to a plurality of editing tools; publishing the edited media content; storing contextual information relating to the editing of the media content; and refining the media content editing architecture using the stored contextual information.

Abstract: A display panel and a display device are disclosed. The display panel includes a plurality of scan lines, a plurality of data lines, and a plurality of sub-pixels. Each of the scan lines is electrically connected to a row of the sub-pixels. The plurality of sub-pixels include a first pixel column and a second pixel column. The first pixel column and the second pixel column are arranged adjacent to each other. The first pixel column includes a plurality of first pixel units. The second pixel column includes a plurality of second pixel units. Each of the first pixel unit and the second pixel unit includes three sub-pixels, and colors of the three sub-pixels are different. At least two adjacent first pixel units and at least two adjacent second pixel units are electrically connected to a same data line.

Abstract: The present disclosure relates to systems and methods for image storage. The methods may include obtaining a first image of a subject. The methods may further include obtaining a second image of the subject. The second image may include scan status information of the subject. The scan status information may be associated with a status of the subject when the first image is acquired. And The methods may also include storing the second image correspondingly with the first image.