Alibaba Group had 144 patents in artificial intelligence during Q4 2023. Alibaba Group Holding Ltd filed patents in Q4 2023 for methods related to key point detection in images, rib detection in medical images with semantic information, neural network-based program sampling, quality estimation for automatic speech recognition, and audio packet loss compensation processing. These methods involve using trained models, neural networks, and feature extraction techniques to improve accuracy and efficiency in various applications such as image recognition, program analysis, speech recognition, and audio processing. GlobalData’s report on Alibaba Group gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Alibaba Group grant share with artificial intelligence as a theme is 59% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method, device, and storage medium for key point or joint key point detection and model training (Patent ID: US20230419637A1)
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The patent filed by Alibaba Group Holding Ltd. describes a method for key point detection involving acquiring an image and inputting it into a trained model to obtain a target heat map corresponding to key points in the image. The model determines two heat maps of different sizes and corrects the larger one based on the smaller one to generate the target heat map. The method includes feature extraction, transposed convolution, linear interpolation, and element-wise multiplication to achieve accurate key point detection.
Furthermore, the patent outlines the optimization of the key point detection model by comparing predicted and expected heat maps, adjusting the second predicted heat map based on the first one to obtain the target predicted heat map. The method involves determining coordinates of key points, generating expected heat maps, and scaling processing to ensure accurate detection. Additionally, the patent details the determination of potential peak coordinates in the target heat map and the calculation of key point coordinates in the image to be recognized based on distribution statistics. Overall, the method and system described in the patent aim to enhance key point detection accuracy through a series of precise computational steps and model optimizations.
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