Abstract: A method for displaying content includes: displaying a first interface, where first video content is played by a video player on the first interface; and displaying first target content by the video player, in response to a first content stream switching on the first video content, where the first target content is non-video content and is associated with the first video content.

Abstract: The present disclosure describes techniques for generating content based on rhythm. The techniques comprises acquiring a plurality of images comprising an object with movements in the plurality of images; determining whether at least one portion of the at least one part of the object in a first image aligns with a target image overlaid on the first image and whether the at least one portion aligns with the target image at a time proximate to a first rhythmic point of a playback of a selected piece of music; segmenting the at least one part of the object from the first image in response to determining that the at least one portion aligns with the target image at the time proximate to the first rhythmic point of the playback of the selected piece of music; and generating a first overlay based on the at least one part of the object.

Abstract: Some embodiments of the disclosure provide an air intake bypass recirculation structure with adjustable air entraining amount and controllable broadband noise which includes main body of the air intake bypass recirculation structure and an air entraining amount adjusting structure. In some examples, an air intake bypass recirculation cavity is formed in the main body of the air intake bypass recirculation structure. An air inlet of an air intake pipe and an air outlet of the air intake pipe are formed in two ends of the main body of the air intake bypass recirculation structure respectively. An airflow inlet of the air intake bypass recirculation structure and an airflow outlet of the air intake bypass recirculation structure are formed in the inner side of the main body of the air intake bypass recirculation structure. The air entraining amount adjusting structure is arranged in the air intake bypass recirculation cavity.

Abstract: A turbocharger air intake silencer with adjustable cavity space structures is provided. The turbocharger air intake silencer comprises a silencer connecting flange and a first resonator device. The first resonator device comprises a first silencer sealing plate, a first annular sound absorption cavity body, a first rotary table, a first rotary steering gear and a first valve. A first sound absorption cavity is enclosed by the first silencer sealing plate, the first annular sound absorption cavity body, the first valve and the first rotary table. A first sound absorption cavity inlet pipe is arranged beside the first sound absorption cavity. The first sound absorption cavity and the first sound absorption cavity inlet pipe form a Helmholtz resonator. The first rotary steering gear is mounted on the silencer connecting flange. The rotary steering gear is connected with a first rotary rack.

Abstract: Some embodiments of the disclosure provide an air intake bypass recirculation structure with adjustable air entraining amount and controllable broadband noise which includes main body of the air intake bypass recirculation structure and an air entraining amount adjusting structure. In some examples, an air intake bypass recirculation cavity is formed in the main body of the air intake bypass recirculation structure. An air inlet of an air intake pipe and an air outlet of the air intake pipe are formed in two ends of the main body of the air intake bypass recirculation structure respectively. An airflow inlet of the air intake bypass recirculation structure and an airflow outlet of the air intake bypass recirculation structure are formed in the inner side of the main body of the air intake bypass recirculation structure. The air entraining amount adjusting structure is arranged in the air intake bypass recirculation cavity.

Abstract: Provided are a multi-modal model training method, apparatus and device, and a storage medium. The method includes the following steps: obtaining a training sample set, and training a multi-modal model for a plurality of rounds by successively using each of training sample pair in the training sample set: during use of any one of the training sample pairs for training, obtaining an image feature of a target visual sample firstly, and then determining whether back translation needs to be performed on a target original text; when back translation needs to be performed on the target original text, performing corresponding back translation to obtain a target back-translated text, and obtaining a text feature of the target back-translated text; and training the multi-modal model based on the image feature and the text feature.

Abstract: A turbocharger air intake silencer with adjustable cavity space structures is provided. The turbocharger air intake silencer comprises a silencer connecting flange and a first resonator device. The first resonator device comprises a first silencer sealing plate, a first annular sound absorption cavity body, a first rotary table, a first rotary steering gear and a first valve. A first sound absorption cavity is enclosed by the first silencer sealing plate, the first annular sound absorption cavity body, the first valve and the first rotary table. A first sound absorption cavity inlet pipe is arranged beside the first sound absorption cavity. The first sound absorption cavity and the first sound absorption cavity inlet pipe form a Helmholtz resonator. The first rotary steering gear is mounted on the silencer connecting flange. The rotary steering gear is connected with a first rotary rack.

Abstract: Disclosed are a person Re-identification (Re-ID) method, system, and device, and a computer-readable storage medium. The method includes: acquiring a sample set to be trained (S101); training a pre-constructed person Re-ID model by data re-sampling and cross-validation methods based on the sample set to be trained to obtain a trained person Re-ID model (S102); and performing person Re-ID based on the trained person Re-ID model, wherein persons in any two groups are of different classes after the sample set to be trained is grouped according to the cross-validation method (S103).

Abstract: A method and device for augmented reality interactive display, and the method includes: acquiring scene scale information, in which the scene scale information is used for characterizing dimension information of a real-world environment represented by an augmented reality space of a first client, determining display scale information of a virtual object according to the scene scale information and reference scale information, in which the reference scale information is used for characterizing dimension information of the virtual object in a reference environment, and the display scale information is used for characterizing dimension information of the virtual object in the augmented reality space of the first client, and displaying the virtual object in the augmented reality space of the first client according to the display scale information.

Abstract: A method includes: setting, in a main training network, an auxiliary training network having the same architecture as the main training network, performing data enhancement on an original image to obtain an enhanced image; inputting the original image into the main training network, inputting the enhanced image into the auxiliary training network; determining whether an intersection-over-union value of a second prediction frame generated by the auxiliary training network and a target frame is greater than an intersection-over-union value of a first prediction frame generated by the main training network and the target frame; and in response to the intersection-over-union value of the second prediction frame and the target frame being greater than the intersection-over-union value of the first prediction frame and the target frame, replacing the intersection-over-union value of the first prediction frame and the target frame with the intersection-over-union value of the second prediction frame and the target f

Abstract: A method includes: setting, in a main training network, an auxiliary training network having the same architecture as the main training network, performing data enhancement on an original image to obtain an enhanced image; inputting the original image into the main training network, inputting the enhanced image into the auxiliary training network; determining whether an intersection-over-union value of a second prediction frame generated by the auxiliary training network and a target frame is greater than an intersection-over-union value of a first prediction frame generated by the main training network and the target frame; and in response to the intersection-over-union value of the second prediction frame and the target frame being greater than the intersection-over-union value of the first prediction frame and the target frame, replacing the intersection-over-union value of the first prediction frame and the target frame with the intersection-over-union value of the second prediction frame and the target f

Abstract: The present disclosure describes techniques for generating content based on rhythm. The techniques comprises acquiring a plurality of images comprising an object with movements in the plurality of images; determining whether at least one portion of the at least one part of the object in a first image aligns with a target image overlaid on the first image and whether the at least one portion aligns with the target image at a time proximate to a first rhythmic point of a playback of a selected piece of music; segmenting the at least one part of the object from the first image in response to determining that the at least one portion aligns with the target image at the time proximate to the first rhythmic point of the playback of the selected piece of music; and generating a first overlay based on the at least one part of the object.

Abstract: A depth image generation method, apparatus, and storage medium and electronic device. The method includes: acquiring a plurality of target images; performing multi-stage convolution processing on the plurality of target images through a plurality of convolutional layers in a convolution model to obtain feature map sets respectively outputted by the plurality of convolutional layers; performing view aggregation on a plurality of feature maps in each feature map set respectively to obtain an aggregated feature corresponding to each feature map set; and performing fusion processing on the plurality of obtained aggregated features to obtain a depth image. The plurality of acquired target images are obtained by photographing the target object from different views respectively, so that the plurality of obtained target images include information from different angles, which enriches information content of the acquired target images.

Abstract: A quantum control pulse generation method, a device, and a storage medium are provided, which are related to the field of quantum computation. The method includes: constructing, based on relevant physical parameters of a target quantum hardware structure, a system Hamiltonian of a quantum system characterized by the target quantum hardware structure; obtaining an initial control pulse set matching the target quantum hardware structure; obtaining, based on the system Hamiltonian, system state information of the quantum system by simulation; and optimizing the initial control pulse in the initial control pulse set based on at least a relationship between the system state information of the quantum system and target state information that needs to be achieved by the target quantum task, to obtain a target control pulse sequence by simulation.