Model generating apparatus and method

A model generating apparatus and method are provided. The apparatus receives a plurality of sample images. The apparatus generates a plurality of adversarial samples corresponding to the sample images. The apparatus inputs the sample images and the adversarial samples respectively to a first encoder...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: LI, YUNG-HUI, JAN, NIEN-YI, LIN, YENNG, LEE, WEI-BIN, LEE, TING-HSUAN
Format: Patent
Sprache:chi ; eng
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Beschreibung
Zusammenfassung:A model generating apparatus and method are provided. The apparatus receives a plurality of sample images. The apparatus generates a plurality of adversarial samples corresponding to the sample images. The apparatus inputs the sample images and the adversarial samples respectively to a first encoder and a second encoder in a self-supervised neural network to generate a plurality of first feature extractions and a plurality of second features extractions. The apparatus calculates a similarity of each of the first feature extractions and the second feature extractions to train the self-supervised neural network. The apparatus generates a task model based on the first encoder and a plurality of labeled data.