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-{
- "id": "0d2dd4fc016cb6a517d8fb43a7cc3ff62964832e",
- "title": {
- "text": "Large age-gap face verification by feature injection in deep networks",
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- "slug": "Large-age-gap-face-verification-by-feature-in-deep-Bianco",
- "paperAbstract": {
- "text": "This paper introduces a new method for face verification across large age gaps and also a dataset containing variations of age in the wild, the Large Age-Gap (LAG) dataset, with images ranging from child/young to adult/old. The proposed method exploits a deep convolutional neural network (DCNN) pre-trained for the face recognition task on a large dataset and then fine-tuned for the large age-gap face verification task. Finetuning is performed in a Siamese architecture using a contrastive loss function. A feature injection layer is introduced to boost verification accuracy, showing the ability of the DCNN to learn a similarity metric leveraging external features. Experimental results on the LAG dataset show that our method is able to outperform the face verification solutions in the state of the art considered.",
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- "authors": [
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- "name": "Simone Bianco",
- "ids": [
- "2217051"
- ],
- "slug": "Simone-Bianco"
- },
- {
- "text": "Simone Bianco",
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- "structuredAuthors": [
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- "firstName": "Simone",
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- "lastName": "Bianco"
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- "year": {
- "text": "2017",
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- "venue": {
- "text": "Pattern Recognition Letters",
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- },
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- "journal": {
- "name": "Pattern Recognition Letters",
- "volume": "90",
- "pages": "36-42"
- },
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- "doi": "10.1016/j.patrec.2017.03.006",
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