Abstract: A defect inspection method is disclosed. The method includes acquiring a plurality of first images of a first specimen in a first resolution. The method includes acquiring a plurality of second images of the first specimen in a second resolution, the second resolution being different from the first resolution. The method includes training a machine learning model with a training set, wherein the training set comprises at least the plurality of first images of the first specimen and the plurality of second images of the first specimen. The method includes acquiring a third image of a second specimen in the first resolution. The method includes inputting the third image into the trained machine learning model. The method includes generating, based on the trained machine learning model, a fourth image of the second specimen in the second resolution.

Abstract: An information retrieval method utilizing webpage visual and language features and a system using thereof are disclosed. The system includes an analysis result database, a webpage template database, a webpage collecting module, and an analyzing module. The webpage template database stores template feature arrays of respective target websites. Each of the template feature arrays includes one or more template visual feature and one or more template language feature which are corresponding to template nodes of a DOM tree. The system is linked to a target website by the webpage collecting module, so as to retrieve webpage feature arrays of a target webpage of the target website. The system calculates an overall similarity between the webpage feature arrays and the template feature arrays corresponding to the same target website. Consequently, a desired information content can be determined and stored in the analysis result database.

Abstract: Methods and systems for extracting domain phrases are provided. First, a domain phrase database including a plurality of domain phrases is provided. For a candidate phrase, it is determined whether the candidate phrase is a domain phrase according to an occurrence condition of at least one part of the candidate phrase in the domain phrases of the domain phrase database and the occurrence condition of the at least one part of the candidate phrase at different relative positions in respective domain phrases in respective domain phrases.