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Kinship verification and kinship retrieval are emerging tasks in computervision. Kinship verification aims at determining whether two facial images arefrom related people or not, while kinship retrieval is the task of retrievingpossible related facial images to a person from a gallery of images. Theyintroduce unique challenges because of the hidden relations and features thatcarry inherent characteristics between the facial images. We employ 3 methods,FaceNet, Siamese VGG-Face, and a combination of FaceNet and VGG-Face models asfeature extractors, to achieve the 9th standing for kinship verification andthe 5th standing for kinship retrieval in the Recognizing Family in The Wild2020 competition. We then further experimented using StyleGAN2 as anotherencoder, with no improvement in the result.

Recognizing Families through Images with Pretrained Encoder