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VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION
VIEWPOINT INVARIANT OBJECT RECOGNITION BY SYNTHESIZATION AND DOMAIN ADAPTATION
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机译：通过合成和域自适应进行视点不变对象识别
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摘要
Systems and methods for performing domain adaptation include collecting a labeled source image having a view of an object. Viewpoints of the object in the source image are synthesized to generate view augmented source images. Photometrics of each of the viewpoints of the object are adjusted to generate lighting and view augmented source images. Features are extracted from each of the lighting and view augmented source images with a first feature extractor and from captured images captured by an image capture device with a second feature extractor. The extracted features are classified using domain adaptation with domain adversarial learning between extracted features of the captured images and extracted features of the lighting and view augmented source images. Labeled target images are displayed corresponding to each of the captured images including labels corresponding to classifications of the extracted features of the captured images.
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