公开(公告)号：US20240331355A1

公开(公告)日：2024-10-03

申请号：US18579514

申请日：2022-04-27

Applicant: Shanghai Midu Science and Technology Co., LTD.

Inventor： Ou KONG ,  Yidong LIU ,  Jun WANG

IPC: G06V10/764 ,  G06T5/20 ,  G06V10/771

CPC classification number: G06V10/764 ,  G06T5/20 ,  G06V10/771 ,  G06T2207/20084 ,  G06V2201/07

Abstract: The present disclosure provides a synchronous processing method, system, storage medium and terminal for image classification and object detection. The method includes the following steps: inputting the image into a neural network to perform a first convolution operation to obtain a first feature map; performing sequentially a second convolution operation, a pooling operation and a nonlinear function activation operation on the first feature map to obtain a second feature map, obtaining the object detection result of the image based on the second feature map; performing in sequence a global average pooling operation and a full connection operation on the first feature map to obtain the classification result of the image. The synchronous processing method, system, storage medium and terminal for image classification and object detection of the present disclosure simultaneously perform image classification and object detection through the same neural network, thus effectively reducing system load.

公开(公告)号：US20250021756A1

公开(公告)日：2025-01-16

申请号：US18572200

申请日：2022-04-27

Applicant: Shanghai Midu Science and Technology Co., LTD.

Inventor： Gen LI ,  Yidong LIU ,  Jun WANG

IPC: G06F40/232 ,  G06F40/53

Abstract: The disclosure provides a Chinese spelling correction method, including: obtaining a text sequence, a pinyin sequence and a picture sequence of a Chinese input text file; based on the text sequence, the pinyin sequence and the picture sequence respectively extracting word meaning features, phonetic features and glyph features of the Chinese input text file; integrating the word meaning features, phonetic features and glyph features; based on the integrated word meaning features, phonetic features and glyph features, performing a correctness prediction, a pinyin prediction and a character prediction on the Chinese input text file to obtain the corrected Chinese output text file; performing rationality judgment on the Chinese output text file to obtain the final Chinese text file. The method is based on multi-modal neural networks and language models to realize the recognition and correction of word meanings, phonetics and glyphs in Chinese spelling, thus effectively improving accuracy and practicality.

公开(公告)号：US20240265410A1

公开(公告)日：2024-08-08

申请号：US18574066

申请日：2022-07-22

Applicant: Shanghai Midu Science and Technology Co., LTD.

Inventor： Jing JI ,  Yidong LIU ,  Jun WANG

IPC: G06Q30/0201

CPC classification number: G06Q30/0201

Abstract: A method for analyzing public satisfaction, a storage medium and an electronic device are provided; the method for analyzing public satisfaction including: collecting public feedback data; classifying the public feedback data into different categories; determining an attribute of public feedback data in each category based on sensitivity of the public feedback data in each category, wherein the attribute includes a positive attribute and a negative attribute; determining public satisfaction based on attributes of all categories of the public feedback data. The present disclosure takes into account both positive and negative information of data, as well as positive and negative information of events, and enables a deeper analysis of public satisfaction on the basis of public attention and the degree of dissemination.