Abstract: An image editing system accesses an input image displayed via a user interface and generates an instance-aware trimap for the input image by applying an instance-aware image segmentation model to input data including the input image and a segmented image defining a segment of the input image including a first set of pixel values. The trimap defines a modified segment using a second set of pixels different from the first set of pixels. Applying the model includes detecting boundaries of an object depicted in the input image. The second set of pixels is located within the boundaries of the object. Responsive to receiving a request via the user interface, the system generates a modified image by performing an editing operation on the input image including editing a portion of the second set of pixels of the modified segment of the trimap. The system transmits, for display, the modified image.

Abstract: Disclosed is a computer-implemented method for sequence design, including: obtaining a candidate target sequence set that translates into a source sequence, based on the source sequence; and searching in the candidate target sequence set for a desired target sequence having a sequence structure that minimizes an objective function. The objective function comprises a minimum free energy (MFE) of a candidate target sequence and an additive regularization term.

Abstract: A classifier visualization method includes determining an ordering of N classes that maximizes a gravity metric for the ordering computed as a sum of pairwise terms as a fraction with an accepted correlation coefficient of a corresponding pair of classes of the N classes in the numerator and a distance metric in the denominator that is indicative of a distance in the ordering between the classes; and displaying a confusion matrix for a classifier to be visualized, the displayed confusion matrix having the N classes ordered in the determined ordering along an X-axis and having the N classes ordered in the determined ordering along a Y-axis, and the value of each cell of the displayed confusion matrix corresponding to match counts between the class along the X-axis class at which the cell is located and the class along the Y-axis at which the cell is located.

Abstract: An acrylate-based single-chain nanoparticle is disclosed, which includes 10-20 parts of methacrylic acid, 1-2 parts of tetramethylguanidine and 1-2 parts of halohydrocarbon. The scheme provided by the disclosure establishes a “meta template” for synthesizing various single-chain nanoparticles, unifies the preparation method of the polyacrylate, simultaneously carries out high-concentration preparation in an aqueous phase only through ultraviolet irradiation, which reduces the production cost, reduces the carbon emission in production, and provides possibility for the industrialized production of the polyacrylate-based single-chain nanoparticle.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating harmonized digital images utilizing an object-to-object harmonization neural network. For example, the disclosed systems implement, and learn parameters for, an object-to-object harmonization neural network to combine a style code from a reference object with features extracted from a target object. Indeed, the disclosed systems extract a style code from a reference object utilizing a style encoder neural network. In addition, the disclosed systems generate a harmonized target object by applying the style code of the reference object to a target object utilizing an object-to-object harmonization neural network.

Abstract: Disclosed are a grain boundary and surface-doped rare earth zirconium-based ceramic material and a preparation method and application thereof, and part of doped elements are positioned at the grain boundary and surface of the rare earth zirconium-based ceramic material by a step-by-step doping method. The sintering activity of the rare earth zirconium-based ceramic material can be changed by adjusting the type and content of doping elements at the grain boundary and the surface, thereby enabling the control of the grain size and the grain boundary number and characteristics of the rare earth zirconium-based ceramic material, and finally optimizing the properties, such as electrical and mechanical properties, of the material. The doping method has the advantages of simple process, low cost and high universality, and can meet the requirements of different rare earth zirconium-based ceramics on doping elements, and thus is suitable for large-scale application.

Abstract: The present invention provides a pet ladder that adjusts the angle of the ramp, including: the first ladder body and two second ladder bodies, the first ladder body and the two second ladder bodies are fixed internally, the two rotating members are connected to the side of the first ladder body and the second ladder body, the second ladder body opposite the first ladder body, the protective assembly is provided at one end of the second ladder body, the rotating assembly is provided at one end of the second ladder body, and the adjusting erection is placed on the side of the rotary assembly. According to the present invention, a pet ladder operates between the rotating parts, the rotating component, the rotating assembly and the rotating component with the adjustment frame between the first ladder body and the second ladder body, with excellent comfort.

Abstract: The present invention provides a furniture jack that can be self-locking, labor-saving and easily portable, including: the bottom plate, the bottom plate is fixed with a straight bar, the moving plate is provided on the bottom side of the bottom plate, the top of the moving plate is fixed with a shell, the internal rotation of the shell is connected with a worm. The invention provides a self-locking, labor-saving, convenient to carry, the furniture jack, driven by turning the grip of the handle and the worm, make a lever between the handle and the worm, operation, and screw mechanical structure, without relative sliding, can be stable for large objects, to increase security, and after the end of the use, to receive the grip, reduce the space to carry, improve the user experience.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a transformer-based encoder-decoder neural network architecture for generating alpha mattes for digital images. Specifically, the disclosed system utilizes a transformer encoder to generate patch-based encodings from a digital image and a trimap segmentation by generating patch encodings for image patches and comparing the patch encodings to areas of the digital image. Additionally, the disclosed system generates modified patch-based encodings utilizing a plurality of neural network layers. The disclosed system also generates an alpha matte for the digital image from the patch-based encodings utilizing a decoder that includes a plurality of upsampling layers connected to a plurality of neural network layers via skip connections.

Abstract: A method of detecting and positioning an insulation failure of an aircraft generator is provided, comprising: S1, for each stator slot in the aircraft generator, wrapping one semiconductor layer on a surface of an external insulation layer of each copper conductor in the stator slot; S2, for each semiconductor layer, partitioning the semiconductor layer to obtain a plurality of zones, disposing a resistor-inductance branch network in each zone, and connecting the resistor-inductance branch networks to form an insulation failure detection circuit; S3, supplying power to a three-phase winding of the aircraft generator from an external power source; S4, determining whether an unearthed voltage is present in four end corners of the insulation failure detection circuit; if not, returning to S3 for further powering; if yes, outputting a detection result and collecting an insulation failure position with potential change and difference in the insulation failure detection circuit as a positioning result.

Abstract: A controllable switch, a dual-control switch, and a control system including a controllable switch includes a wireless communication module and a switch component. The wireless communication module is coupled to the switch component. The wireless communication module is configured to send a control instruction to the switch component in response to receiving a switching request. The switch component is configured to switch from a first state to a second state after receiving the control instruction. The first state is one of a turning-on state and a turning-off state, and the second state is the other one of the turning-on state and the turning-off state.

Abstract: The present invention discloses a rare-earth-manganese/cerium-zirconium-based composite compound, a method for preparing the same, and a use thereof. The composite compound is of a core-shell structure with a general formula expressed as: A REcBaOb-(1-A)CexZr(1-x-y)MyO2-z, wherein 0.1?A?0.3, preferably 0.1?A?0.2; a shell layer has a main component of rare-earth manganese oxide with a general formula of REcMnaOb, wherein RE is a rare-earth element or a combination of more than one rare-earth elements, and B is Mn or a combination of Mn and a transition metal element, 1?a?8, 2?b?18, and 0.25?c?4; and a core has a main component of cerium-zirconium composite oxide with a general formula of CexZr(1-x-y)MyO2-z, wherein M is one or more non-cerium rare-earth elements, 0.1?x?0.9, 0?y?0.3, and 0.01?z?0.3. The composite compound enhances an oxygen storage capacity of a cerium-zirconium material through an interface effect, thereby increasing a conversion rate of a nitrogen oxide.

Abstract: The present application discloses a method and apparatus for displaying a virtual landscape picture, a storage medium, and an electronic device. The method includes acquiring a plurality of landscape layer types comprised in the target landscape area to be displayed and determining a type weight corresponding to each landscape layer type in the plurality of landscape layer types; screening at least one target landscape layer type with a corresponding type weight which satisfies a condition from the plurality of landscape layer types, and acquiring an index value of a landscape layer corresponding to each of the screened at least one target landscape layer type; and sequentially storing the index value in each image color channel of the landscape layer index map to obtain the landscape layer index map corresponding to the target landscape area to be displayed.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates object shadows for digital images utilizing corresponding geometry-aware buffer channels. For instance, in one or more embodiments, the disclosed systems generate, utilizing a height prediction neural network, an object height map for a digital object portrayed in a digital image and a background height map for a background portrayed in the digital image. The disclosed systems also generate, from the digital image, a plurality of geometry-aware buffer channels using the object height map and the background height map. Further, the disclosed systems modify the digital image to include a soft object shadow for the digital object using the plurality of geometry-aware buffer channels.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a transformer-based encoder-decoder neural network architecture for generating alpha mattes for digital images. Specifically, the disclosed system utilizes a transformer encoder to generate patch-based encodings from a digital image and a trimap segmentation by generating patch encodings for image patches and comparing the patch encodings to areas of the digital image. Additionally, the disclosed system generates modified patch-based encodings utilizing a plurality of neural network layers. The disclosed system also generates an alpha matte for the digital image from the patch-based encodings utilizing a decoder that includes a plurality of upsampling layers connected to a plurality of neural network layers via skip connections.

Abstract: The present application discloses a method and apparatus for displaying a virtual landscape picture, a storage medium, and an electronic device. The method includes acquiring a plurality of landscape layer types comprised in the target landscape area to be displayed and determining a type weight corresponding to each landscape layer type in the plurality of landscape layer types; screening at least one target landscape layer type with a corresponding type weight which satisfies a condition from the plurality of landscape layer types, and acquiring an index value of a landscape layer corresponding to each of the screened at least one target landscape layer type; and sequentially storing the index value in each image color channel of the landscape layer index map to obtain the landscape layer index map corresponding to the target landscape area to be displayed.

Abstract: A method for etching in plasma processing in a plasma chamber, including continually rotating between a first etch cycle and a second etch cycle for a period of time to etch a feature in a masked substrate. The method including performing the first etch cycle on the masked substrate using a first etching chemistry for a first sub-period. The first etch cycle is continually rotated between a first state configured for passivation, a second state, and third state configured for etching the masked substrate. During the second state of the first etch cycle, a first tuning step is performed by tuning the first etching chemistry, a high frequency RF power and a low frequency RF power to provide extended passivation to the feature in the masked substrate. The method including performing the second etch cycle on the masked substrate using a second etching chemistry for a second sub-period.

Abstract: Provided is a contactless displacement sensor based on a flexible photoelectric nanofilm. The displacement sensor is fixed on a mid-span surface of a bridge; a laser light source is arranged under the displacement sensor, and after the has a deflection, the displacement sensor is displaced along with the bridge, resulting in a corresponding change in an output current; the change of a laser transmission distance, namely the deflection of the bridge, can be obtained through back calculation according to an output current signal. Compared with other traditional deflection measuring devices, the contactless displacement sensor based on a flexible photoelectric nanofilm has the advantages of a simple structure, a high measuring precision, a high response speed, a wide in application range, being capable of achieving real-time automatic measurement and the like.

Abstract: An image processing system employs a parametric model for image harmonization of composite images. The parametric model employs a two-stage approach to harmonize an input composite image. At a first stage, a color curve prediction model predicts color curve parameters for the composite image. At a second stage, the composite image with the color curve parameters are input to a shadow map prediction model, which predicts a shadow map. The predicted color curve parameters and shadow map are applied to the composite image to provide a harmonized composite image. In some aspects, the color curve parameters and shadow map are predicted using a lower-resolution composite image and up-sampled to apply to a higher-resolution version of the composite image. The harmonized composite image can be output with the predicted color curve parameters and/or shadow map, which can be modified by a user to further enhance the harmonized composite image.

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”).