Baidu. has filed a patent for an image classification method using deep learning and computer vision technologies. The method involves extracting image features using neural network models and fusing them to classify images accurately. This innovation could enhance image recognition capabilities in various applications. GlobalData’s report on Baidu gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Baidu, Behavioral analytics was a key innovation area identified from patents. Baidu's grant share as of January 2024 was 44%. Grant share is based on the ratio of number of grants to total number of patents.
Image classification method using deep learning and computer vision
A recently filed patent (Publication Number: US20240037911A1) outlines an innovative image classification method that involves extracting image features using two different network models - a convolutional neural network module and a deep self-attention transformer network module. The method includes fusing these extracted features to create a target feature for recognition and subsequently classifying the target image based on this feature. The patent further details the process of feature fusion in different modes to generate the final target feature, enhancing the accuracy and efficiency of image classification.
Moreover, the patent extends beyond just the method and describes an electronic device equipped with processors and memory that stores instructions enabling the execution of the image classification operations outlined in the patent. This device leverages the fusion of image features from the two network models to recognize and classify target images effectively. Additionally, a non-transitory computer-readable storage medium is mentioned, containing instructions for executing the image classification operations on a computer. This medium facilitates the extraction, fusion, and classification of image features using the specified network models, showcasing a comprehensive approach to image recognition technology. Overall, the patent presents a sophisticated and detailed methodology for image classification, offering potential applications in various industries requiring accurate and efficient image analysis.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
