Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Yugeng Lin

Chen Ran

Dianping Xu

Hao Chen

Pinlin Chen

Leteng Weng

Ting Huang

Mei Jiang

Hongyang Wang

Junjie Zhou

Xiaoyi Jia

Jie Miao

Minhui Wu

Huajie Huang

Yanhua Cheng

Jingjing Li

Lijian Mei

Haoyu Li

Bolun Cai

Yike Liu

Jinchang Xu

Xiaobin Fang

Tao Zou

Zhikang Tan

Jubo Mo

Hongxiao Yu

Zhangjing Yang

This application discloses an artificial intelligence-based object detection method and apparatus. The method includes inputting a target image comprising an object to an object detection model; obtaining feature images of different scales from the target image using the object detection model; determining image location information of the object and a first confidence level that the object belongs to each category; acquiring a target region in which the object is located; inputting the target region to an object retrieval model, comparing the target region with sample images of a plurality of categories to obtain a second confidence level that the object belongs to each category; and determining a target category of the object based on the first confidence level and the second confidence level, a sum of the first confidence level and the second confidence level of the target category being the largest of the plurality of categories.

Artificial intelligence-based object detection method and apparatus, device, and storage medium

Embodiments of this application disclose a headword extraction method performed by a computer device. The method includes: obtaining a sentence feature of a target sentence and word features of a plurality of words in the target sentence; extracting semantics of the sentence feature of the target sentence to obtain a semantic feature of the target sentence, and extracting semantics of the word feature of each word to obtain a semantic feature of the word; obtaining a respective matching degree between the semantic feature of each of the plurality of words and the semantic feature of the target sentence; and determining, among the plurality of words in the target sentence, a word with a largest corresponding matching degree as a headword of the target sentence. The method can improve the accuracy of headwords extracted from the target sentence.

Headword extraction method and apparatus, device, and storage medium

A method includes: obtaining a first image including a target item; selecting a plurality of reference images corresponding to the first image from a database; performing word segmentation on item text information corresponding to the plurality of reference images to obtain a plurality of words; and extracting a key word meeting a reference condition from the plurality of words, and determining the extracted key word as an item name of the target item.

Method and apparatus for determining item name, computer device, and storage medium

An image recognition method includes acquiring a target image, the target image being an image of a certificate to be recognized; text area recognition is performed on the target image to obtain a text area image of a target text corresponding to the certificate to be recognized; a text direction of the target text is determined according to the text area image; direction adjustment is performed on the text area image according to the text direction to obtain an adjusted text area image; and text recognition is performed on the adjusted text area image to obtain a text content of the target text.

Image recognition method, apparatus, terminal, and storage medium

A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern including predefined information encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a target encoded pattern having a target resolution and corrects an edge of a sub-pattern in the target encoded pattern to obtain a second encoded pattern. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

Method and apparatus for processing encoded pattern, storage medium, and electronic apparatus

This application relates to a target detection method performed at a computer device. The method includes: obtaining a to-be-detected image; extracting a first image feature and a second image feature corresponding to the to-be-detected image; performing dilated convolution to the second image feature, to obtain a third image feature corresponding to the to-be-detected image; performing classification and regression to the first image feature and the third image feature, to determine candidate position parameters corresponding to a target object in the to-be-detected image and degrees of confidence corresponding to the candidate position parameters; and selecting a valid position parameter from the candidate position parameters according to their corresponding degrees of confidence, and determining a position of the target object in the to-be-detected image according to the valid position parameter. The solutions in this application can improve robustness and consume less time.

Target detection method and apparatus, computer-readable storage medium, and computer device

A method for processing an encoded pattern, a storage medium, and an electronic device are disclosed in this application. An electronic device acquires a first encoded pattern to be recognized, the first encoded pattern being a pattern obtained after predefined information is encoded therein. The electronic device increases resolution of the first encoded pattern through a target model to obtain a second encoded pattern, the target model being obtained through training by using a predetermined third encoded pattern as an input and a predetermined fourth encoded pattern as an output, the third encoded pattern being obtained by decreasing resolution of the fourth encoded pattern, the third and the first encoded patterns being encoded in the same manner. Finally, the electronic device decodes the second encoded pattern using a code recognition module to obtain the predefined information. This application resolves the technical problem that an encoded pattern cannot be accurately recognized.

The present disclosure describes method, apparatus, and storage medium for identifying an identification code. The method includes obtaining, by a computer device, a to-be-detected picture. The computer device includes a memory storing instructions and a processor in communication with the memory. The method also includes detecting, by the computer device, an identification code in the to-be-detected picture to obtain a detection result, the detection result comprising target information of a target code corresponding to the identification code; sampling, by the computer device, the target code according to the target information, to obtain a sampled image; and decoding, by the computer device, the sampled image, to obtain an identification result corresponding to the identification code.

Method, apparatus, and storage medium for identifying identification code

A method, an apparatus, and a terminal for recognizing a two-dimensional code are provided. The two-dimensional code includes an image region and an encoding region. The image region and the encoding region have no overlap. The method includes selecting, from pixels of the two-dimensional code, a pixel included in a code element in an encoding region. The method further includes determining a value of the code element in the encoding region according to the pixel included in the code element in the encoding region. The method further includes recognizing the two-dimensional code according to the value of the code element in the encoding region.

Two-dimensional code and method, terminal, and apparatus for recognizing two-dimensional code

A graphic code recognition method includes: displaying a target image, the target image comprising at least two graphic codes; in response to receiving a graphic code recognition operation on the target image for selecting one of the at least two graphic codes to recognize, obtaining graphic code position information of the at least two graphic codes in the target image; determining a target graphic code indicated by the graphic code recognition operation according to the graphic code position information, the target graphic code belonging to the at least two graphic codes; and displaying a target graphic code recognition result corresponding to the target graphic code.

Graphic code recognition method and apparatus, terminal, and storage medium

A method of an information processing device is provided. The method includes: dividing, by the at least one processor, a predetermined region used for generating a two-dimensional code into an image region and an encoding region that does not overlap the image region; setting, by the at least one processor, a first image in the image region; and setting, by the at least one processor, at least one code element used for storing data information in the encoding region.

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Shenzhen, China

Yugeng Lin