8results about How to "Avoid attention" patented technology

The invention discloses a hyperspectral image super-resolution method based on a double-domain gating convolution attention mechanism, which can improve the attention of high-frequency information of a hyperspectral image and improve the super-resolution effect after feature fusion. The method comprises a depth feed-forward convolution module, a non-bureau gate control convolution module, a dual-domain gate control attention module and a reconstruction module. According to the method, firstly, a spatial high-frequency information region in an image is filtered by adopting non-local department controlled convolution (NGC), and meanwhile, attention to a global context is kept through a self-adaptive high-frequency component attention mechanism; under the guidance of spatial domain-spectral domain correlation, a hyperspectral image is reconstructed without influencing details, and then spatial high frequency and texture information of the hyperspectral image is reserved through depth feed-forward convolution (DFC) and double-domain convolution attention. Experimental results prove that the algorithm is superior to other common remote sensing image super-resolution algorithms in subjective visual effects and objective evaluation indexes.

The present application provides an information processing method, device, equipment and readable storage medium, wherein the method includes: obtaining the doctor certification information submitted from the client and the first process node where the doctor certification information is located, marking the status of the doctor certification information according to the first process node where the doctor certification information is located, obtaining the first review status of the doctor certification information, obtaining the review result of the doctor certification information at the first process node, submitting the doctor certification information to the second process node according to the review result, and updating the first review status according to the second process node where the doctor certification information is located to obtain the second review status. In this technical solution, by marking the status of the doctor certification information at each process node, the review status of the doctor certification information at each process node is determined, which avoids the user's real-time attention to the process status, reduces the user's workload, and improves the efficiency of process advancement.

The application provides a three-dimensional vision-guided mechanical arm adaptive grasping method and system, which predicts a grasping pose by improving an attention mechanism to fuse local geometry and global constraints, after extracting local geometric features of sampling points, using surface normal and principal curvature information to construct key and value vectors containing rich local surface morphology, using global position and neighborhood information of the sampling points to generate a query vector, the core lies in using a grasping compatibility matrix based on the kinematics and geometric constraints of the mechanical arm end, the matrix is used as prior knowledge to modulate the initial attention score calculated by Q and K, generate an attention weight fused with feasibility, weight V based on the weight, generate a context-enhanced feature for each point, through a pose regression network, parallelly solve the grasping pose parameters and confidence corresponding to each point, and output the optimal grasping scheme through sorting and screening.

The invention provides a serial port equipment management method and device, electronic equipment and a computer readable storage medium, and is applied to the technical field of computers, and the method comprises the following steps: identifying serial port equipment accessed to the electronic equipment through a first configuration program of a first operating system; identifying a target serial port device which can be used by an application program of the second operating system; in response to triggering of a configuration control in an interface of the first configuration program, calling a second configuration program of a second operating system running in the compatible application program through the first configuration program so as to configure a device registry of the second operating system provided by the compatible application program according to the information of the target serial port device; and realizing access use of the target serial port equipment in the second operating system based on the information in the equipment registry through the compatible application program. The whole configuration process can be automatically carried out by a program, so that the convenience of identifying and using the serial port equipment is improved.

The invention discloses an IP anti-positioning method and system based on a false Web landmark. The method comprises the following steps: step 1, obtaining a network topology of a region where a protected target is located; 2, setting at least one Web server under a router directly connected with the protected target; 3, determining an offset distance according to the size of the urban area where the protected target is located; 4, determining a nominal position range of the false Web landmark according to the offset distance, and determining at least one disguise entity required by the false Web landmark in the nominal position range of the false Web landmark; and 5, constructing according to a preset website template and the information of the camouflage entity to obtain a false Web landmark, and deploying the false Web landmark on the Web server. According to the method, the false Web landmark which has landmark characteristics, but is false in nominal position, relatively low in delay with a protection target and relatively high in credibility can be generated, so that the positioning data of a localizer generates errors, and the IP anti-positioning effect is good.

The invention discloses an interaction method of an intelligent assistant, a man-machine interaction system and a related device, when the intelligent assistant is not awakened, a first function module is displayed on a man-machine interface at a first display definition, and a virtual image of the intelligent assistant is displayed on the man-machine interface at a second display definition. Therefore, the first function module is clearly displayed on the human-computer interface, and the virtual image of the intelligent assistant is fuzzily displayed. If the awakening operation for the intelligent assistant is obtained, the intelligent assistant is controlled to enter an awakening state, the virtual image of the intelligent assistant is displayed on the human-computer interface with the third display definition, and the first function module is displayed on the human-computer interface with the fourth display definition, so that the virtual image of the intelligent assistant is clearly displayed when the intelligent assistant is awakened. Therefore, when the intelligent assistant is not awakened, it is avoided as much as possible that the virtual image of the intelligent assistant distracts the attention of the user on the function module and shields the function module, and the display effect and operation convenience of the function module are improved.

The present invention discloses a cataract postoperative vision prediction system based on a multimodal fusion network, including a trained cataract postoperative vision prediction model, the model uses a convolutional neural network as a backbone network, is used to receive image data in input data, and extract features from the horizontal and vertical images respectively; the learned features are then serialized and input into a multimodal cross-attention network; the multimodal cross-attention network that inputs the image features of two views is respectively merged with the vision blocks encoded by the preoperative vision, the randomly generated regression blocks and the cross blocks, and deep feature extraction and information fusion within the range of the view features are performed through the Transformer layer; the regression blocks of the two views are spliced ​​into a fully connected layer, and the predicted postoperative vision is output. The present invention can automatically extract image modal features, and fuse them with preoperative vision modal features, learn potential inter-modal relationships, and achieve accurate prediction with a relatively low computational cost.

The utility model relates to the technical field of barrier avoidance device, concretely is a portable barrier avoidance device for assisting blind people to travel, including the casing, the second outer wall of casing is provided with first ranging module, the inclined surface of casing is provided with second ranging module, is provided with host computer and vibration module in the casing. The utility model discloses, aiming at the problem that the privacy of blind user is neglected because of voice broadcast for the prior art product, the device provides the feedback mode of non - voice through vibration module, avoids causing the attention of others or the psychological discomfort of user, improves the use experience while protecting the privacy, overcomes the voice failure problem of prior art product in noisy environment, even under complex scene, user can also know that the barrier appears in the front or the front lower side through vibration prompt, ensures the product stability and practicality. Still with braille button, automatic adjusting function is combined, reduces the learning cost and psychological stress, improves the acceptance of user to product.