13 datasets found

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  • Face Transformer

    Face transformer for recognition.
  • Cross-age LFW

    Cross-age LFW: A database for studying cross-age face recognition in unconstrained environments.
  • Cross-pose LFW

    Cross-pose LFW: A database for studying cross-pose face recognition in unconstrained environments.
  • Explainable Face Verification

    Face recognition systems have demonstrated remarkable performances and thus gained a vital role in our daily life. They already surpass human face verification accountability in...
  • KinFaceW

    A dataset for face verification in the wild.
  • Family101

    A family database containing 45 families with an average of 120 near frontal facial samples per family.
  • TSKinFace

    A new face database named TSKinFace (Tri-Subject Kinship Face Database) is constructed to analyze the behavior of the proposed algorithm for tri-subject kinship verification.
  • Sampling Matters in Deep Embedding Learning

    Deep embeddings answer one simple question: How similar are two images? Learning these embeddings is the bedrock of verification, zero-shot learning, and visual search.
  • YTF

    Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.
  • ImageNet-Dogs

    The dataset used in the paper for image classification, object detection, and face verification tasks.
  • Labeled Faces in the Wild

    The dataset is a 4-way array of dimensions 4000 × 90 × 90 × 3, where each pixel gives the intensity for colors red, green and blue, resulting in a multiway array of dimensions X...
  • CASIA-WebFace, CIFAR-10 and ImageNet (ILSVRC 2012)

    The dataset used in the paper is CASIA-WebFace, CIFAR-10 and ImageNet (ILSVRC 2012) for face verification and image classification tasks.
  • LFW

    Face recognition and person re-identification using paired image-attribute data, where the attributes (i.e., soft biometrics) are only available during the training phase.