Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a multi-branch harmonization neural network architecture to harmonize composite images. For example, in one or more implementations, the semantic-guided transformer-based harmonization system uses a convolutional branch, a transformer branch, and a semantic branch to generate a harmonized composite image based on an input composite image and a corresponding segmentation mask. More particularly, the convolutional branch comprises a series of convolutional neural network layers followed by a style normalization layer to extract localized information from the input composite image. Further, the transformer branch comprises a series of transformer neural network layers to extract global information based on different resolutions of the input composite image. The semantic branch includes a visual neural network that generates semantic features that inform the harmonization of the composite images.

Abstract: A substrate processing system includes a processing chamber, a substrate support, a laser, and a collimating assembly. The substrate support is disposed in the processing chamber and is configured to support a substrate. The laser is configured to generate a laser beam. The collimating assembly includes lenses or mirrors arranged to direct the laser beam at the substrate to heat an exposed material of the substrate. The lenses or mirrors are configured to direct the laser beam in a direction within a predetermined range of being perpendicular to a surface of the substrate.

Abstract: A substrate processing apparatus includes a vacuum chamber with upper and lower electrodes and a processing zone for processing a substrate using plasma. The upper electrode includes a surface that is substantially parallel to a surface of the substrate when the substrate is positioned in the chamber. The apparatus includes at least one magnetic field source configured to generate one or more active magnetic fields through the processing zone, and a controller coupled to the at least one magnetic field source and the upper electrode. The controller is configured to apply RF power between the upper and lower electrodes to generate the plasma using a process gas. The controller controls the current through the at least one magnetic field source during the processing of the substrate, where the current is based on a target value corresponding to at least one characteristic of the one or more active magnetic fields.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly generating harmonized digital images utilizing a self-supervised image harmonization neural network. In particular, the disclosed systems can implement, and learn parameters for, a self-supervised image harmonization neural network to extract content from one digital image (disentangled from its appearance) and appearance from another from another digital image (disentangled from its content). For example, the disclosed systems can utilize a dual data augmentation method to generate diverse triplets for parameter learning (including input digital images, reference digital images, and pseudo ground truth digital images), via cropping a digital image with perturbations using three-dimensional color lookup tables (“LUTs”).

Abstract: A method for preparing organic-inorganic hybrid nanoflower by electrodeposition is provided, which relates to the technical field of enzyme immobilization. An aqueous solution of a rare earth nitrate is mixed with a biological enzyme and a nitrate to obtain a mixed solution; the rare earth ions in the rare earth nitrate are one or more selected from La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Yb and Y ions; the biological enzyme is ?-amylase, horseradish peroxidase or laccase; then, the mixed solution is electrodeposited with a three-electrode system consisting of a working electrode, a counter electrode and a reference electrode to obtain an electrodeposited film on the surface of the working electrode; thereafter, the electrodeposited film is washed and dried successively to obtain organic-inorganic hybrid nanoflower.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilizes a neural network having a hierarchy of hierarchical point-wise refining blocks to generate refined segmentation masks for high-resolution digital visual media items. For example, in one or more embodiments, the disclosed systems utilize a segmentation refinement neural network having an encoder and a recursive decoder to generate the refined segmentation masks. The recursive decoder includes a deconvolution branch for generating feature maps and a refinement branch for generating and refining segmentation masks. In particular, in some cases, the refinement branch includes a hierarchy of hierarchical point-wise refining blocks that recursively refine a segmentation mask generated for a digital visual media item.

Abstract: An on-off detection circuit for a flash switch includes an on-off detection module and a control module. An input end of the on-off detection module is connected with a power supply through the flash switch, the on-off detection module is configured to acquire a digital signal as a detection level according to an electromagnetic signal generated by input current. An input end of the control module is connected with an output end of the on-off detection module, to receive the detection level and determine an on-off state change of the flash switch according to the detection level.

Abstract: An image processing system auto white balances an image using an object in the image and a reference color distribution. Given an input image, a target object in the input image is identified. A reference color distribution for the object type of the target object from the input image is accessed. One or more image processing settings are determined that, when applied to the input image, minimize a difference in values between pixels of the target object and the reference color distribution. A white balanced image is generated by applying the one or more image processing settings to the input image, and the white balanced image is provided for presentation.

Abstract: Systems and methods for image segmentation are described. Embodiments of the present disclosure receive an image depicting an object; generate image features for the image by performing a convolutional self-attention operation that outputs a plurality of attention-weighted values for a convolutional kernel applied at a position of a sliding window on the image; and generate label data that identifies the object based on the image features.

Abstract: An image processing system generates an image mask from an image. The image is processed by an object detector to identify a region having an object, and the region is classified based on an object type of the object. A masking pipeline is selected from a number of masking pipelines based on the classification of the region. The region is processed using the masking pipeline to generate a region mask. An image mask for the image is generated using the region mask.

Abstract: Systems and methods for image segmentation are described. Embodiments of the present disclosure receive an image depicting an object; generate image features for the image by performing an atrous self-attention operation based on a plurality of dilation rates for a convolutional kernel applied at a position of a sliding window on the image; and generate label data that identifies the object based on the image features.

Abstract: An adhesive trap for entrapping pests such as insects such as flying or crawling insects, or other small creatures includes a corrugated panel defining a plurality of channels connected by convex peaks. For example, the corrugated panel, or a plurality of corrugated panels, may be configured and/or assembled to define a pillar or the like. An insect adhesive, such as pressure-sensitive adhesive, is adhered only in the plurality of channels, such that the convex peaks of the corrugated panel are free of adhesive. The adhesive trap is effective at capturing target insects, and the adhesive-free outer portions facilitate handling of the traps without contacting the adhesive and reduces the risk and likelihood of inadvertently ensnaring or adhesively engaging larger, non-target creatures.

Abstract: A polishing tool wear amount prediction device, machine learning device, and system capable of predicting a wear amount of a polishing tool unit of a polishing tool during polishing are provided. The polishing tool wear amount prediction device includes a machine learning device which observes polishing condition data indicating a processing condition of polishing as a state variable indicating a current environment state and performs, based on the state variable, learning or prediction by using a learning model which stores a correlation of the wear amount of the polishing tool with respect to the processing condition of polishing.

Abstract: A method for allocating virtual articles comprises: receiving at least two acquisition requests directed at a virtual article packet, and respectively recording receiving times of the acquisition requests, wherein the virtual article packet comprises one or more virtual article sub-packets; allocating acquisition sequence numbers respectively to the acquisition requests according to a sequential order of the receiving times of the acquisition requests; and allocating the virtual article sub-packets according to the acquisition sequence numbers for the acquisition requests corresponding to the acquisition sequence numbers, and sending virtual articles in the virtual article sub-packets to users corresponding to the acquisition requests.

Abstract: An electronic control actuator of the disclosure includes: a lower housing and an upper housing, the lower housing or the upper housing including a plurality of first matching holes, and the lower housing and the upper housing cooperating to form an installation space; an isolation plate disposed between the lower housing and the upper housing, the isolation plate including a plurality of second matching holes, and a plurality of locating pins respectively passing through the plurality of first matching holes and the plurality of second matching holes; and a compact gear assembly and a drive motor both disposed in the installation space, and the compact gear assembly being cooperatively connected to the drive motor.

Abstract: A semantic understanding method and apparatus, and a device and a storage medium are provided. The method includes: acquiring a recognition character string that matches speech information; acquiring, from an entity vocabulary library, at least one entity vocabulary respectively corresponding to each recognition character in the recognition character string; and according to a situation of each entity vocabulary hitting the recognition character string, determining a matching entity vocabulary as a semantic understanding result of the speech information. By means of the method, insofar as a completely matching entity vocabulary is not acquired, a matching entity vocabulary can still be determined according to an entity vocabulary library, and semantic information of speech is thus accurately understood; and the method also has relatively high fault tolerance for situations such as wrong words, added words, and omitted words, such that the semantic understanding accuracy of speech information is improved.

Abstract: An adhesive trap for entrapping pests such as insects such as flying or crawling insects, or other small creatures includes a corrugated panel defining a plurality of channels connected by convex peaks. For example, the corrugated panel, or a plurality of corrugated panels, may be configured and/or assembled to define a pillar or the like. A pressure sensitive adhesive is adhered only in the plurality of channels, such that the convex peaks of the corrugated panel are free of adhesive. The adhesive trap is effective at capturing target insects, and the adhesive-free outer portions facilitate handling of the traps without contacting the adhesive and reduces the risk and likelihood of inadvertently ensnaring or adhesively engaging larger, non-target creatures.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that implement a dual-branched neural network architecture to harmonize composite images. For example, in one or more implementations, the transformer-based harmonization system uses a convolutional branch and a transformer branch to generate a harmonized composite image based on an input composite image and a corresponding segmentation mask. More particularly, the convolutional branch comprises a series of convolutional neural network layers followed by a style normalization layer to extract localized information from the input composite image. Further, the transformer branch comprises a series of transformer neural network layers to extract global information based on different resolutions of the input composite image.

Abstract: Provided are a high quality silicon carbide seed crystal, a silicon carbide crystal, a silicon carbide substrate, and a preparation method therefor. A high quality silicon carbide seed crystal is prepared, the dopant concentrations of a thermal insulation material, a graphite crucible, and a silicon carbide powder material are controlled, a specific crystal growth process and a wafer machining means are integrated, and a high quality silicon carbide substrate is obtained. The obtained silicon carbide substrate has a high crystalline quality and an extremely low amount of micropipes, screw dislocation density, and compound dislocation density; said substrate also has an extremely low p-type dopant concentration, exhibits superior electrical performance, and has a high surface quality.